In [22]:
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 2000
lr_schedule_step = 600
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.219270 - Iter 024 / 025, Loss: 0.994155 * Train accuracy / confusion: 42.00% / [[214, 108, 32], [139, 98, 35], [70, 80, 24]], * Val accuracy / confusion: 49.62% / [[158, 72, 0], [75, 100, 0], [49, 66, 0]] ------------------------------ Epoch 002 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.914796 - Iter 024 / 025, Loss: 0.956661 * Train accuracy / confusion: 48.00% / [[273, 60, 23], [156, 70, 40], [81, 56, 41]], * Val accuracy / confusion: 51.54% / [[172, 43, 15], [61, 75, 39], [54, 40, 21]] ------------------------------ Epoch 003 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.083490 - Iter 024 / 025, Loss: 0.821440 * Train accuracy / confusion: 51.88% / [[268, 81, 13], [118, 118, 30], [56, 87, 29]], * Val accuracy / confusion: 50.96% / [[187, 41, 2], [88, 74, 13], [56, 55, 4]] ------------------------------ Epoch 004 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.173130 - Iter 024 / 025, Loss: 0.954328 * Train accuracy / confusion: 50.38% / [[258, 80, 16], [114, 111, 41], [60, 86, 34]], * Val accuracy / confusion: 50.77% / [[165, 34, 31], [48, 48, 79], [35, 29, 51]] ------------------------------ Epoch 005 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.175453 - Iter 024 / 025, Loss: 0.931640 * Train accuracy / confusion: 51.88% / [[270, 71, 15], [112, 104, 49], [58, 80, 41]], * Val accuracy / confusion: 39.81% / [[103, 22, 105], [18, 17, 140], [8, 20, 87]] ------------------------------ Epoch 006 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.907668 - Iter 024 / 025, Loss: 1.006900 * Train accuracy / confusion: 53.00% / [[261, 78, 15], [118, 119, 34], [57, 74, 44]], * Val accuracy / confusion: 54.42% / [[180, 30, 20], [58, 64, 53], [38, 38, 39]] ------------------------------ Epoch 007 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.001701 - Iter 024 / 025, Loss: 0.919635 * Train accuracy / confusion: 49.38% / [[247, 79, 31], [117, 84, 66], [57, 55, 64]], * Val accuracy / confusion: 56.54% / [[149, 73, 8], [28, 132, 15], [24, 78, 13]] ------------------------------ Epoch 008 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.999808 - Iter 024 / 025, Loss: 0.900258 * Train accuracy / confusion: 53.12% / [[270, 77, 11], [116, 124, 28], [54, 89, 31]], * Val accuracy / confusion: 53.27% / [[194, 28, 8], [85, 62, 28], [59, 35, 21]] ------------------------------ Epoch 009 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.990575 - Iter 024 / 025, Loss: 0.941683 * Train accuracy / confusion: 52.50% / [[282, 59, 17], [126, 88, 55], [64, 59, 50]], * Val accuracy / confusion: 55.00% / [[152, 72, 6], [35, 103, 37], [18, 66, 31]] ------------------------------ Epoch 010 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.940686 - Iter 024 / 025, Loss: 0.949164 * Train accuracy / confusion: 51.50% / [[257, 82, 15], [107, 126, 38], [56, 90, 29]], * Val accuracy / confusion: 53.65% / [[173, 29, 28], [55, 53, 67], [31, 31, 53]] ------------------------------ Epoch 011 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.107512 - Iter 024 / 025, Loss: 0.877639 * Train accuracy / confusion: 54.88% / [[286, 57, 15], [123, 96, 43], [70, 53, 57]], * Val accuracy / confusion: 53.85% / [[135, 85, 10], [31, 121, 23], [14, 77, 24]] ------------------------------ Epoch 012 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.828074 - Iter 024 / 025, Loss: 0.978701 * Train accuracy / confusion: 54.88% / [[277, 66, 14], [120, 106, 41], [52, 68, 56]], * Val accuracy / confusion: 56.35% / [[183, 28, 19], [69, 59, 47], [41, 23, 51]] ------------------------------ Epoch 013 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829240 - Iter 024 / 025, Loss: 1.093009 * Train accuracy / confusion: 53.88% / [[261, 84, 12], [99, 113, 57], [47, 70, 57]], * Val accuracy / confusion: 53.65% / [[187, 34, 9], [73, 77, 25], [45, 55, 15]] ------------------------------ Epoch 014 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.850741 - Iter 024 / 025, Loss: 0.769856 * Train accuracy / confusion: 52.38% / [[274, 74, 9], [115, 117, 34], [49, 100, 28]], * Val accuracy / confusion: 56.73% / [[142, 62, 26], [34, 98, 43], [18, 42, 55]] ------------------------------ Epoch 015 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.862283 - Iter 024 / 025, Loss: 1.139307 * Train accuracy / confusion: 51.50% / [[282, 51, 26], [131, 71, 63], [67, 50, 59]], * Val accuracy / confusion: 55.96% / [[192, 37, 1], [73, 98, 4], [42, 72, 1]] ------------------------------ Epoch 016 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.957908 - Iter 024 / 025, Loss: 0.877026 * Train accuracy / confusion: 56.00% / [[286, 65, 9], [112, 126, 27], [53, 86, 36]], * Val accuracy / confusion: 54.04% / [[182, 29, 19], [61, 59, 55], [42, 33, 40]] ------------------------------ Epoch 017 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834295 - Iter 024 / 025, Loss: 0.744633 * Train accuracy / confusion: 54.88% / [[264, 77, 15], [106, 116, 46], [43, 74, 59]], * Val accuracy / confusion: 56.92% / [[190, 27, 13], [79, 74, 22], [42, 41, 32]] ------------------------------ Epoch 018 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.369193 - Iter 024 / 025, Loss: 0.857484 * Train accuracy / confusion: 57.12% / [[287, 56, 13], [121, 112, 37], [47, 69, 58]], * Val accuracy / confusion: 54.42% / [[163, 47, 20], [42, 74, 59], [22, 47, 46]] ------------------------------ Epoch 019 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.884950 - Iter 024 / 025, Loss: 0.849868 * Train accuracy / confusion: 55.62% / [[268, 74, 20], [109, 110, 44], [50, 58, 67]], * Val accuracy / confusion: 53.65% / [[178, 45, 7], [70, 91, 14], [36, 69, 10]] ------------------------------ Epoch 020 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.025517 - Iter 024 / 025, Loss: 0.800316 * Train accuracy / confusion: 54.75% / [[284, 55, 18], [125, 94, 45], [46, 73, 60]], * Val accuracy / confusion: 54.04% / [[169, 29, 32], [44, 64, 67], [34, 33, 48]] ------------------------------ Epoch 021 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.874704 - Iter 024 / 025, Loss: 1.020507 * Train accuracy / confusion: 55.50% / [[276, 68, 12], [118, 113, 38], [48, 72, 55]], * Val accuracy / confusion: 58.08% / [[161, 55, 14], [35, 102, 38], [21, 55, 39]] ------------------------------ Epoch 022 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.858054 - Iter 024 / 025, Loss: 0.890685 * Train accuracy / confusion: 56.25% / [[275, 65, 18], [108, 130, 31], [39, 89, 45]], * Val accuracy / confusion: 58.46% / [[180, 37, 13], [59, 75, 41], [24, 42, 49]] ------------------------------ Epoch 023 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897308 - Iter 024 / 025, Loss: 0.958159 * Train accuracy / confusion: 54.75% / [[257, 80, 14], [95, 133, 42], [44, 87, 48]], * Val accuracy / confusion: 55.58% / [[171, 52, 7], [50, 104, 21], [19, 82, 14]] ------------------------------ Epoch 024 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.797563 - Iter 024 / 025, Loss: 0.908677 * Train accuracy / confusion: 55.75% / [[275, 65, 16], [113, 118, 36], [49, 75, 53]], * Val accuracy / confusion: 57.88% / [[187, 30, 13], [73, 76, 26], [38, 39, 38]] ------------------------------ Epoch 025 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812351 - Iter 024 / 025, Loss: 0.982640 * Train accuracy / confusion: 55.50% / [[279, 61, 21], [117, 113, 36], [51, 70, 52]], * Val accuracy / confusion: 58.08% / [[165, 39, 26], [50, 78, 47], [24, 32, 59]] ------------------------------ Epoch 026 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.992763 - Iter 024 / 025, Loss: 0.958081 * Train accuracy / confusion: 54.75% / [[274, 69, 10], [113, 122, 36], [51, 83, 42]], * Val accuracy / confusion: 59.04% / [[176, 37, 17], [52, 79, 44], [23, 40, 52]] ------------------------------ Epoch 027 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.877030 - Iter 024 / 025, Loss: 0.902857 * Train accuracy / confusion: 56.00% / [[278, 63, 14], [115, 114, 39], [44, 77, 56]], * Val accuracy / confusion: 54.62% / [[178, 51, 1], [69, 88, 18], [37, 60, 18]] ------------------------------ Epoch 028 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.956209 - Iter 024 / 025, Loss: 0.967460 * Train accuracy / confusion: 56.00% / [[278, 68, 11], [110, 110, 49], [40, 74, 60]], * Val accuracy / confusion: 55.77% / [[190, 37, 3], [78, 89, 8], [36, 68, 11]] ------------------------------ Epoch 029 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.813403 - Iter 024 / 025, Loss: 0.779196 * Train accuracy / confusion: 58.62% / [[275, 64, 13], [108, 136, 27], [36, 83, 58]], * Val accuracy / confusion: 55.38% / [[177, 39, 14], [70, 72, 33], [30, 46, 39]] ------------------------------ Epoch 030 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.752822 - Iter 024 / 025, Loss: 1.136566 * Train accuracy / confusion: 57.50% / [[273, 68, 12], [103, 116, 52], [38, 67, 71]], * Val accuracy / confusion: 56.35% / [[158, 57, 15], [48, 95, 32], [18, 57, 40]] ------------------------------ Epoch 031 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.028784 - Iter 024 / 025, Loss: 0.869572 * Train accuracy / confusion: 57.50% / [[273, 67, 19], [106, 126, 32], [39, 77, 61]], * Val accuracy / confusion: 53.85% / [[172, 35, 23], [68, 52, 55], [29, 30, 56]] ------------------------------ Epoch 032 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972204 - Iter 024 / 025, Loss: 0.959020 * Train accuracy / confusion: 58.00% / [[288, 58, 14], [117, 111, 44], [36, 67, 65]], * Val accuracy / confusion: 52.50% / [[188, 38, 4], [75, 81, 19], [42, 69, 4]] ------------------------------ Epoch 033 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.967355 - Iter 024 / 025, Loss: 0.878233 * Train accuracy / confusion: 56.38% / [[260, 80, 14], [103, 132, 33], [29, 90, 59]], * Val accuracy / confusion: 58.27% / [[171, 36, 23], [48, 82, 45], [21, 44, 50]] ------------------------------ Epoch 034 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.995814 - Iter 024 / 025, Loss: 1.134684 * Train accuracy / confusion: 58.75% / [[281, 55, 16], [108, 115, 47], [47, 57, 74]], * Val accuracy / confusion: 54.42% / [[186, 35, 9], [70, 73, 32], [36, 55, 24]] ------------------------------ Epoch 035 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.047086 - Iter 024 / 025, Loss: 0.820404 * Train accuracy / confusion: 60.25% / [[270, 72, 11], [100, 146, 25], [34, 76, 66]], * Val accuracy / confusion: 53.85% / [[184, 24, 22], [77, 53, 45], [31, 41, 43]] ------------------------------ Epoch 036 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.681393 - Iter 024 / 025, Loss: 0.870858 * Train accuracy / confusion: 56.12% / [[268, 75, 13], [105, 108, 54], [37, 67, 73]], * Val accuracy / confusion: 55.38% / [[178, 44, 8], [63, 89, 23], [28, 66, 21]] ------------------------------ Epoch 037 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.782110 - Iter 024 / 025, Loss: 0.902049 * Train accuracy / confusion: 55.88% / [[260, 79, 13], [102, 130, 36], [32, 91, 57]], * Val accuracy / confusion: 55.58% / [[156, 25, 49], [50, 55, 70], [26, 11, 78]] ------------------------------ Epoch 038 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.787223 - Iter 024 / 025, Loss: 0.945882 * Train accuracy / confusion: 56.50% / [[276, 67, 15], [114, 110, 43], [41, 68, 66]], * Val accuracy / confusion: 55.19% / [[170, 51, 9], [49, 102, 24], [25, 75, 15]] ------------------------------ Epoch 039 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.895768 - Iter 024 / 025, Loss: 0.855265 * Train accuracy / confusion: 55.25% / [[280, 54, 17], [126, 104, 38], [38, 85, 58]], * Val accuracy / confusion: 56.54% / [[178, 36, 16], [68, 74, 33], [30, 43, 42]] ------------------------------ Epoch 040 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703238 - Iter 024 / 025, Loss: 1.139926 * Train accuracy / confusion: 59.50% / [[277, 65, 18], [91, 129, 46], [35, 69, 70]], * Val accuracy / confusion: 58.46% / [[172, 44, 14], [55, 100, 20], [18, 65, 32]] ------------------------------ Epoch 041 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.911321 - Iter 024 / 025, Loss: 0.865659 * Train accuracy / confusion: 59.00% / [[267, 74, 15], [104, 133, 33], [35, 67, 72]], * Val accuracy / confusion: 57.69% / [[159, 60, 11], [50, 94, 31], [23, 45, 47]] ------------------------------ Epoch 042 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.919971 - Iter 024 / 025, Loss: 0.742374 * Train accuracy / confusion: 57.12% / [[265, 70, 20], [106, 119, 49], [32, 66, 73]], * Val accuracy / confusion: 56.35% / [[155, 69, 6], [43, 106, 26], [15, 68, 32]] ------------------------------ Epoch 043 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.773091 - Iter 024 / 025, Loss: 0.966909 * Train accuracy / confusion: 59.12% / [[262, 79, 17], [91, 136, 43], [27, 70, 75]], * Val accuracy / confusion: 51.92% / [[146, 66, 18], [37, 94, 44], [13, 72, 30]] ------------------------------ Epoch 044 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798427 - Iter 024 / 025, Loss: 0.953093 * Train accuracy / confusion: 58.38% / [[264, 79, 12], [101, 141, 29], [35, 77, 62]], * Val accuracy / confusion: 56.54% / [[164, 44, 22], [47, 77, 51], [18, 44, 53]] ------------------------------ Epoch 045 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.923650 - Iter 024 / 025, Loss: 0.846169 * Train accuracy / confusion: 56.88% / [[274, 69, 15], [111, 105, 48], [30, 72, 76]], * Val accuracy / confusion: 57.31% / [[159, 50, 21], [36, 70, 69], [15, 31, 69]] ------------------------------ Epoch 046 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.029163 - Iter 024 / 025, Loss: 1.068752 * Train accuracy / confusion: 59.12% / [[270, 63, 21], [98, 125, 48], [32, 65, 78]], * Val accuracy / confusion: 59.62% / [[178, 50, 2], [45, 108, 22], [18, 73, 24]] ------------------------------ Epoch 047 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.003314 - Iter 024 / 025, Loss: 0.743307 * Train accuracy / confusion: 57.38% / [[269, 69, 19], [98, 131, 36], [26, 93, 59]], * Val accuracy / confusion: 57.31% / [[177, 45, 8], [69, 85, 21], [32, 47, 36]] ------------------------------ Epoch 048 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.739667 - Iter 024 / 025, Loss: 0.804900 * Train accuracy / confusion: 59.38% / [[276, 69, 14], [100, 120, 46], [26, 70, 79]], * Val accuracy / confusion: 57.69% / [[147, 65, 18], [25, 100, 50], [9, 53, 53]] ------------------------------ Epoch 049 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.826485 - Iter 024 / 025, Loss: 0.843063 * Train accuracy / confusion: 61.12% / [[277, 65, 11], [93, 128, 50], [33, 59, 84]], * Val accuracy / confusion: 55.38% / [[159, 64, 7], [49, 96, 30], [19, 63, 33]] ------------------------------ Epoch 050 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.847841 - Iter 024 / 025, Loss: 0.910127 * Train accuracy / confusion: 57.75% / [[270, 71, 12], [95, 131, 43], [24, 93, 61]], * Val accuracy / confusion: 58.46% / [[164, 54, 12], [54, 86, 35], [26, 35, 54]] ------------------------------ Epoch 051 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972442 - Iter 024 / 025, Loss: 0.912411 * Train accuracy / confusion: 56.88% / [[280, 60, 16], [117, 97, 52], [30, 70, 78]], * Val accuracy / confusion: 54.81% / [[176, 24, 30], [59, 46, 70], [28, 24, 63]] ------------------------------ Epoch 052 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.872879 - Iter 024 / 025, Loss: 0.873691 * Train accuracy / confusion: 54.75% / [[258, 88, 13], [102, 126, 41], [35, 83, 54]], * Val accuracy / confusion: 54.42% / [[193, 36, 1], [94, 74, 7], [43, 56, 16]] ------------------------------ Epoch 053 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.873377 - Iter 024 / 025, Loss: 0.812930 * Train accuracy / confusion: 58.12% / [[280, 62, 14], [110, 116, 44], [36, 69, 69]], * Val accuracy / confusion: 56.35% / [[134, 68, 28], [30, 101, 44], [8, 49, 58]] ------------------------------ Epoch 054 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.060948 - Iter 024 / 025, Loss: 0.939961 * Train accuracy / confusion: 57.00% / [[263, 77, 7], [113, 132, 28], [39, 80, 61]], * Val accuracy / confusion: 54.42% / [[165, 57, 8], [58, 97, 20], [26, 68, 21]] ------------------------------ Epoch 055 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.875865 - Iter 024 / 025, Loss: 0.944116 * Train accuracy / confusion: 57.38% / [[279, 60, 19], [97, 118, 48], [33, 84, 62]], * Val accuracy / confusion: 55.77% / [[174, 37, 19], [63, 58, 54], [25, 32, 58]] ------------------------------ Epoch 056 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.800187 - Iter 024 / 025, Loss: 0.844576 * Train accuracy / confusion: 57.25% / [[274, 66, 18], [114, 113, 41], [35, 68, 71]], * Val accuracy / confusion: 57.12% / [[163, 47, 20], [46, 86, 43], [17, 50, 48]] ------------------------------ Epoch 057 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.097998 - Iter 024 / 025, Loss: 1.130056 * Train accuracy / confusion: 59.25% / [[266, 78, 10], [104, 129, 37], [33, 64, 79]], * Val accuracy / confusion: 57.31% / [[195, 24, 11], [81, 59, 35], [33, 38, 44]] ------------------------------ Epoch 058 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.000406 - Iter 024 / 025, Loss: 0.847925 * Train accuracy / confusion: 59.62% / [[279, 56, 22], [99, 107, 63], [28, 55, 91]], * Val accuracy / confusion: 58.08% / [[155, 58, 17], [43, 106, 26], [11, 63, 41]] ------------------------------ Epoch 059 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.955581 - Iter 024 / 025, Loss: 0.940233 * Train accuracy / confusion: 56.62% / [[265, 74, 19], [106, 117, 43], [32, 73, 71]], * Val accuracy / confusion: 56.35% / [[155, 54, 21], [47, 90, 38], [16, 51, 48]] ------------------------------ Epoch 060 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.942350 - Iter 024 / 025, Loss: 0.941272 * Train accuracy / confusion: 58.25% / [[281, 58, 15], [116, 108, 46], [37, 62, 77]], * Val accuracy / confusion: 55.19% / [[158, 53, 19], [44, 89, 42], [14, 61, 40]] ------------------------------ Epoch 061 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.892704 - Iter 024 / 025, Loss: 0.882859 * Train accuracy / confusion: 58.12% / [[272, 71, 12], [95, 124, 49], [32, 76, 69]], * Val accuracy / confusion: 55.96% / [[176, 51, 3], [60, 103, 12], [25, 78, 12]] ------------------------------ Epoch 062 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.962766 - Iter 024 / 025, Loss: 0.838205 * Train accuracy / confusion: 59.25% / [[269, 75, 17], [89, 132, 42], [27, 76, 73]], * Val accuracy / confusion: 56.15% / [[171, 35, 24], [60, 67, 48], [25, 36, 54]] ------------------------------ Epoch 063 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883131 - Iter 024 / 025, Loss: 0.904655 * Train accuracy / confusion: 58.12% / [[280, 71, 8], [107, 119, 42], [39, 68, 66]], * Val accuracy / confusion: 58.46% / [[189, 36, 5], [74, 77, 24], [38, 39, 38]] ------------------------------ Epoch 064 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905417 - Iter 024 / 025, Loss: 0.989932 * Train accuracy / confusion: 59.75% / [[295, 44, 15], [113, 97, 57], [32, 61, 86]], * Val accuracy / confusion: 54.04% / [[125, 57, 48], [23, 85, 67], [9, 35, 71]] ------------------------------ Epoch 065 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834461 - Iter 024 / 025, Loss: 0.956071 * Train accuracy / confusion: 61.00% / [[267, 68, 20], [84, 146, 40], [21, 79, 75]], * Val accuracy / confusion: 54.62% / [[179, 33, 18], [67, 57, 51], [23, 44, 48]] ------------------------------ Epoch 066 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.736263 - Iter 024 / 025, Loss: 0.990019 * Train accuracy / confusion: 58.50% / [[276, 61, 20], [118, 92, 58], [30, 45, 100]], * Val accuracy / confusion: 60.00% / [[175, 46, 9], [53, 88, 34], [13, 53, 49]] ------------------------------ Epoch 067 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811678 - Iter 024 / 025, Loss: 0.980877 * Train accuracy / confusion: 59.25% / [[278, 68, 12], [108, 118, 38], [37, 63, 78]], * Val accuracy / confusion: 56.35% / [[179, 41, 10], [64, 74, 37], [30, 45, 40]] ------------------------------ Epoch 068 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664280 - Iter 024 / 025, Loss: 1.083897 * Train accuracy / confusion: 57.88% / [[270, 72, 15], [108, 124, 35], [31, 76, 69]], * Val accuracy / confusion: 56.54% / [[164, 46, 20], [47, 82, 46], [19, 48, 48]] ------------------------------ Epoch 069 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.999074 - Iter 024 / 025, Loss: 0.963875 * Train accuracy / confusion: 59.75% / [[283, 50, 24], [110, 101, 57], [31, 50, 94]], * Val accuracy / confusion: 55.38% / [[178, 44, 8], [61, 86, 28], [24, 67, 24]] ------------------------------ Epoch 070 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.845398 - Iter 024 / 025, Loss: 0.809331 * Train accuracy / confusion: 60.88% / [[284, 62, 10], [109, 114, 44], [33, 55, 89]], * Val accuracy / confusion: 57.12% / [[158, 45, 27], [45, 74, 56], [16, 34, 65]] ------------------------------ Epoch 071 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.104497 - Iter 024 / 025, Loss: 0.828564 * Train accuracy / confusion: 58.88% / [[264, 77, 14], [95, 133, 43], [32, 68, 74]], * Val accuracy / confusion: 57.69% / [[177, 44, 9], [61, 86, 28], [20, 58, 37]] ------------------------------ Epoch 072 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.772800 - Iter 024 / 025, Loss: 0.798498 * Train accuracy / confusion: 59.75% / [[269, 59, 27], [92, 123, 53], [36, 55, 86]], * Val accuracy / confusion: 57.88% / [[196, 27, 7], [73, 65, 37], [28, 47, 40]] ------------------------------ Epoch 073 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903490 - Iter 024 / 025, Loss: 1.131724 * Train accuracy / confusion: 60.50% / [[277, 64, 17], [105, 126, 31], [35, 64, 81]], * Val accuracy / confusion: 56.92% / [[159, 59, 12], [54, 83, 38], [17, 44, 54]] ------------------------------ Epoch 074 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.762582 - Iter 024 / 025, Loss: 1.041887 * Train accuracy / confusion: 58.25% / [[273, 62, 20], [110, 112, 46], [32, 64, 81]], * Val accuracy / confusion: 56.92% / [[145, 59, 26], [28, 86, 61], [13, 37, 65]] ------------------------------ Epoch 075 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.792358 - Iter 024 / 025, Loss: 0.805768 * Train accuracy / confusion: 59.88% / [[264, 77, 13], [94, 138, 35], [29, 73, 77]], * Val accuracy / confusion: 59.04% / [[159, 56, 15], [38, 97, 40], [14, 50, 51]] ------------------------------ Epoch 076 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748427 - Iter 024 / 025, Loss: 0.823649 * Train accuracy / confusion: 59.50% / [[268, 85, 7], [96, 143, 30], [34, 72, 65]], * Val accuracy / confusion: 56.15% / [[165, 59, 6], [61, 78, 36], [19, 47, 49]] ------------------------------ Epoch 077 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.898825 - Iter 024 / 025, Loss: 0.819366 * Train accuracy / confusion: 58.00% / [[275, 64, 16], [109, 113, 44], [28, 75, 76]], * Val accuracy / confusion: 56.92% / [[174, 50, 6], [60, 90, 25], [24, 59, 32]] ------------------------------ Epoch 078 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.757093 - Iter 024 / 025, Loss: 0.867606 * Train accuracy / confusion: 58.12% / [[279, 62, 13], [112, 116, 42], [29, 77, 70]], * Val accuracy / confusion: 54.42% / [[165, 47, 18], [58, 80, 37], [25, 52, 38]] ------------------------------ Epoch 079 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.891655 - Iter 024 / 025, Loss: 0.697978 * Train accuracy / confusion: 59.25% / [[269, 68, 16], [113, 117, 36], [33, 60, 88]], * Val accuracy / confusion: 58.85% / [[189, 25, 16], [75, 54, 46], [28, 24, 63]] ------------------------------ Epoch 080 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.745237 - Iter 024 / 025, Loss: 0.746718 * Train accuracy / confusion: 60.12% / [[284, 64, 10], [103, 117, 45], [31, 66, 80]], * Val accuracy / confusion: 55.19% / [[164, 56, 10], [61, 85, 29], [20, 57, 38]] ------------------------------ Epoch 081 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834418 - Iter 024 / 025, Loss: 0.804583 * Train accuracy / confusion: 57.50% / [[266, 71, 15], [111, 125, 37], [30, 76, 69]], * Val accuracy / confusion: 58.65% / [[174, 39, 17], [58, 83, 34], [29, 38, 48]] ------------------------------ Epoch 082 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861860 - Iter 024 / 025, Loss: 0.852344 * Train accuracy / confusion: 58.75% / [[274, 64, 14], [103, 120, 48], [28, 73, 76]], * Val accuracy / confusion: 55.77% / [[159, 55, 16], [51, 87, 37], [17, 54, 44]] ------------------------------ Epoch 083 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.831010 - Iter 024 / 025, Loss: 0.688172 * Train accuracy / confusion: 59.62% / [[288, 53, 15], [108, 110, 50], [28, 69, 79]], * Val accuracy / confusion: 58.65% / [[161, 56, 13], [52, 96, 27], [16, 51, 48]] ------------------------------ Epoch 084 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.871302 - Iter 024 / 025, Loss: 0.780987 * Train accuracy / confusion: 60.88% / [[281, 65, 10], [102, 123, 44], [29, 63, 83]], * Val accuracy / confusion: 54.23% / [[202, 19, 9], [101, 43, 31], [50, 28, 37]] ------------------------------ Epoch 085 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.900365 - Iter 024 / 025, Loss: 0.861360 * Train accuracy / confusion: 58.50% / [[268, 67, 20], [109, 117, 40], [32, 64, 83]], * Val accuracy / confusion: 58.27% / [[150, 71, 9], [38, 90, 47], [16, 36, 63]] ------------------------------ Epoch 086 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.832773 - Iter 024 / 025, Loss: 0.871110 * Train accuracy / confusion: 58.25% / [[273, 70, 13], [106, 108, 51], [24, 70, 85]], * Val accuracy / confusion: 53.27% / [[145, 67, 18], [49, 85, 41], [13, 55, 47]] ------------------------------ Epoch 087 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.841754 - Iter 024 / 025, Loss: 0.826556 * Train accuracy / confusion: 61.00% / [[294, 54, 9], [109, 109, 47], [38, 55, 85]], * Val accuracy / confusion: 55.58% / [[139, 69, 22], [40, 95, 40], [7, 53, 55]] ------------------------------ Epoch 088 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.820397 - Iter 024 / 025, Loss: 0.900586 * Train accuracy / confusion: 61.25% / [[274, 73, 10], [98, 127, 42], [20, 67, 89]], * Val accuracy / confusion: 56.73% / [[178, 43, 9], [62, 79, 34], [25, 52, 38]] ------------------------------ Epoch 089 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861522 - Iter 024 / 025, Loss: 0.673399 * Train accuracy / confusion: 58.50% / [[272, 69, 14], [92, 126, 50], [23, 84, 70]], * Val accuracy / confusion: 55.58% / [[161, 55, 14], [56, 74, 45], [18, 43, 54]] ------------------------------ Epoch 090 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.982217 - Iter 024 / 025, Loss: 0.830210 * Train accuracy / confusion: 59.00% / [[260, 75, 18], [95, 123, 49], [28, 63, 89]], * Val accuracy / confusion: 55.77% / [[161, 43, 26], [53, 65, 57], [17, 34, 64]] ------------------------------ Epoch 091 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.128646 - Iter 024 / 025, Loss: 0.888305 * Train accuracy / confusion: 59.50% / [[279, 62, 15], [107, 125, 36], [32, 72, 72]], * Val accuracy / confusion: 56.35% / [[153, 68, 9], [45, 110, 20], [19, 66, 30]] ------------------------------ Epoch 092 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.757721 - Iter 024 / 025, Loss: 0.852507 * Train accuracy / confusion: 56.38% / [[275, 62, 17], [118, 99, 53], [37, 62, 77]], * Val accuracy / confusion: 55.38% / [[183, 44, 3], [72, 83, 20], [33, 60, 22]] ------------------------------ Epoch 093 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.756410 - Iter 024 / 025, Loss: 0.997114 * Train accuracy / confusion: 55.62% / [[268, 71, 16], [109, 118, 43], [36, 80, 59]], * Val accuracy / confusion: 57.50% / [[175, 46, 9], [64, 91, 20], [21, 61, 33]] ------------------------------ Epoch 094 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.835512 - Iter 024 / 025, Loss: 0.852845 * Train accuracy / confusion: 60.00% / [[286, 63, 10], [108, 121, 38], [27, 74, 73]], * Val accuracy / confusion: 55.38% / [[169, 33, 28], [56, 42, 77], [22, 16, 77]] ------------------------------ Epoch 095 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.788932 - Iter 024 / 025, Loss: 0.936334 * Train accuracy / confusion: 59.00% / [[282, 50, 23], [112, 106, 52], [31, 60, 84]], * Val accuracy / confusion: 55.19% / [[182, 42, 6], [68, 77, 30], [21, 66, 28]] ------------------------------ Epoch 096 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.936580 - Iter 024 / 025, Loss: 1.020072 * Train accuracy / confusion: 61.75% / [[256, 83, 11], [82, 136, 52], [20, 58, 102]], * Val accuracy / confusion: 59.23% / [[160, 62, 8], [49, 95, 31], [19, 43, 53]] ------------------------------ Epoch 097 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.951088 - Iter 024 / 025, Loss: 0.740850 * Train accuracy / confusion: 58.50% / [[276, 63, 19], [115, 115, 35], [31, 69, 77]], * Val accuracy / confusion: 59.23% / [[166, 60, 4], [41, 116, 18], [23, 66, 26]] ------------------------------ Epoch 098 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693317 - Iter 024 / 025, Loss: 0.662533 * Train accuracy / confusion: 61.75% / [[287, 52, 18], [101, 122, 43], [28, 64, 85]], * Val accuracy / confusion: 56.73% / [[167, 52, 11], [57, 90, 28], [24, 53, 38]] ------------------------------ Epoch 099 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.887686 - Iter 024 / 025, Loss: 0.882678 * Train accuracy / confusion: 59.75% / [[266, 66, 21], [96, 125, 48], [27, 64, 87]], * Val accuracy / confusion: 58.65% / [[162, 48, 20], [55, 85, 35], [22, 35, 58]] ------------------------------ Epoch 100 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.695422 - Iter 024 / 025, Loss: 0.935363 * Train accuracy / confusion: 60.50% / [[274, 72, 9], [103, 125, 40], [18, 74, 85]], * Val accuracy / confusion: 57.69% / [[183, 39, 8], [68, 88, 19], [25, 61, 29]] ------------------------------ Epoch 101 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.860005 - Iter 024 / 025, Loss: 0.956871 * Train accuracy / confusion: 61.12% / [[271, 75, 10], [88, 143, 39], [18, 81, 75]], * Val accuracy / confusion: 58.27% / [[169, 53, 8], [59, 81, 35], [17, 45, 53]] ------------------------------ Epoch 102 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.035200 - Iter 024 / 025, Loss: 0.954002 * Train accuracy / confusion: 60.75% / [[288, 52, 17], [114, 100, 51], [31, 49, 98]], * Val accuracy / confusion: 56.73% / [[163, 47, 20], [56, 79, 40], [20, 42, 53]] ------------------------------ Epoch 103 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.849783 - Iter 024 / 025, Loss: 0.948128 * Train accuracy / confusion: 60.12% / [[258, 78, 13], [97, 133, 41], [28, 62, 90]], * Val accuracy / confusion: 53.65% / [[167, 45, 18], [68, 67, 40], [23, 47, 45]] ------------------------------ Epoch 104 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.818157 - Iter 024 / 025, Loss: 1.096051 * Train accuracy / confusion: 61.25% / [[284, 55, 20], [95, 116, 52], [34, 54, 90]], * Val accuracy / confusion: 55.96% / [[177, 42, 11], [72, 78, 25], [26, 53, 36]] ------------------------------ Epoch 105 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823467 - Iter 024 / 025, Loss: 0.900110 * Train accuracy / confusion: 59.12% / [[266, 71, 16], [93, 134, 42], [25, 80, 73]], * Val accuracy / confusion: 51.73% / [[140, 45, 45], [43, 68, 64], [18, 36, 61]] ------------------------------ Epoch 106 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.894127 - Iter 024 / 025, Loss: 0.977688 * Train accuracy / confusion: 60.25% / [[288, 59, 10], [111, 128, 30], [36, 72, 66]], * Val accuracy / confusion: 57.50% / [[176, 44, 10], [61, 85, 29], [18, 59, 38]] ------------------------------ Epoch 107 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.045247 - Iter 024 / 025, Loss: 0.651529 * Train accuracy / confusion: 61.25% / [[284, 52, 17], [108, 121, 40], [29, 64, 85]], * Val accuracy / confusion: 53.85% / [[187, 40, 3], [85, 78, 12], [30, 70, 15]] ------------------------------ Epoch 108 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.998059 - Iter 024 / 025, Loss: 0.944833 * Train accuracy / confusion: 60.00% / [[280, 59, 16], [103, 122, 44], [28, 70, 78]], * Val accuracy / confusion: 55.77% / [[178, 35, 17], [68, 63, 44], [21, 45, 49]] ------------------------------ Epoch 109 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909758 - Iter 024 / 025, Loss: 0.795047 * Train accuracy / confusion: 60.38% / [[281, 57, 20], [118, 112, 40], [28, 54, 90]], * Val accuracy / confusion: 55.19% / [[143, 58, 29], [47, 82, 46], [14, 39, 62]] ------------------------------ Epoch 110 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737769 - Iter 024 / 025, Loss: 0.819011 * Train accuracy / confusion: 62.12% / [[287, 54, 16], [100, 123, 43], [28, 62, 87]], * Val accuracy / confusion: 56.35% / [[150, 73, 7], [45, 111, 19], [15, 68, 32]] ------------------------------ Epoch 111 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751904 - Iter 024 / 025, Loss: 0.883606 * Train accuracy / confusion: 59.62% / [[281, 57, 21], [103, 118, 46], [33, 63, 78]], * Val accuracy / confusion: 56.73% / [[162, 46, 22], [58, 76, 41], [23, 35, 57]] ------------------------------ Epoch 112 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.900822 - Iter 024 / 025, Loss: 0.679809 * Train accuracy / confusion: 60.00% / [[286, 66, 7], [113, 103, 49], [31, 54, 91]], * Val accuracy / confusion: 55.38% / [[178, 39, 13], [75, 80, 20], [27, 58, 30]] ------------------------------ Epoch 113 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.786585 - Iter 024 / 025, Loss: 0.865051 * Train accuracy / confusion: 59.50% / [[271, 72, 10], [94, 118, 59], [34, 55, 87]], * Val accuracy / confusion: 54.62% / [[176, 39, 15], [71, 63, 41], [21, 49, 45]] ------------------------------ Epoch 114 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.817627 - Iter 024 / 025, Loss: 0.720839 * Train accuracy / confusion: 62.62% / [[282, 59, 14], [108, 118, 43], [32, 43, 101]], * Val accuracy / confusion: 56.73% / [[167, 48, 15], [58, 77, 40], [14, 50, 51]] ------------------------------ Epoch 115 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.852361 - Iter 024 / 025, Loss: 0.901532 * Train accuracy / confusion: 61.38% / [[281, 52, 16], [104, 109, 58], [35, 44, 101]], * Val accuracy / confusion: 59.04% / [[169, 44, 17], [57, 70, 48], [19, 28, 68]] ------------------------------ Epoch 116 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829761 - Iter 024 / 025, Loss: 0.736826 * Train accuracy / confusion: 59.75% / [[269, 67, 15], [97, 129, 41], [28, 74, 80]], * Val accuracy / confusion: 59.62% / [[175, 37, 18], [59, 73, 43], [23, 30, 62]] ------------------------------ Epoch 117 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.760066 - Iter 024 / 025, Loss: 0.656057 * Train accuracy / confusion: 62.38% / [[286, 45, 22], [102, 122, 45], [23, 64, 91]], * Val accuracy / confusion: 54.81% / [[176, 32, 22], [77, 66, 32], [31, 41, 43]] ------------------------------ Epoch 118 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.016016 - Iter 024 / 025, Loss: 0.757039 * Train accuracy / confusion: 63.62% / [[277, 67, 12], [95, 138, 37], [22, 58, 94]], * Val accuracy / confusion: 56.54% / [[165, 62, 3], [56, 101, 18], [17, 70, 28]] ------------------------------ Epoch 119 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738523 - Iter 024 / 025, Loss: 0.809312 * Train accuracy / confusion: 61.12% / [[286, 52, 18], [113, 105, 48], [27, 53, 98]], * Val accuracy / confusion: 58.08% / [[169, 50, 11], [55, 87, 33], [22, 47, 46]] ------------------------------ Epoch 120 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791422 - Iter 024 / 025, Loss: 0.899501 * Train accuracy / confusion: 57.62% / [[257, 83, 11], [92, 131, 48], [25, 80, 73]], * Val accuracy / confusion: 57.50% / [[174, 40, 16], [68, 81, 26], [22, 49, 44]] ------------------------------ Epoch 121 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.843278 - Iter 024 / 025, Loss: 0.754025 * Train accuracy / confusion: 59.62% / [[282, 59, 15], [98, 115, 60], [29, 62, 80]], * Val accuracy / confusion: 59.42% / [[176, 42, 12], [59, 92, 24], [26, 48, 41]] ------------------------------ Epoch 122 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.770169 - Iter 024 / 025, Loss: 0.839316 * Train accuracy / confusion: 62.88% / [[279, 66, 13], [89, 131, 44], [24, 61, 93]], * Val accuracy / confusion: 54.04% / [[183, 37, 10], [80, 59, 36], [36, 40, 39]] ------------------------------ Epoch 123 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903821 - Iter 024 / 025, Loss: 0.772606 * Train accuracy / confusion: 60.75% / [[273, 72, 10], [95, 133, 40], [28, 69, 80]], * Val accuracy / confusion: 59.62% / [[151, 65, 14], [42, 103, 30], [14, 45, 56]] ------------------------------ Epoch 124 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.628072 - Iter 024 / 025, Loss: 0.858243 * Train accuracy / confusion: 60.62% / [[276, 63, 20], [101, 119, 43], [23, 65, 90]], * Val accuracy / confusion: 58.85% / [[172, 35, 23], [57, 76, 42], [24, 33, 58]] ------------------------------ Epoch 125 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903596 - Iter 024 / 025, Loss: 0.746133 * Train accuracy / confusion: 61.50% / [[288, 59, 13], [105, 120, 42], [26, 63, 84]], * Val accuracy / confusion: 56.35% / [[165, 57, 8], [54, 94, 27], [24, 57, 34]] ------------------------------ Epoch 126 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.869398 - Iter 024 / 025, Loss: 0.815139 * Train accuracy / confusion: 58.62% / [[261, 80, 10], [106, 116, 50], [21, 64, 92]], * Val accuracy / confusion: 55.38% / [[167, 40, 23], [64, 60, 51], [22, 32, 61]] ------------------------------ Epoch 127 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673627 - Iter 024 / 025, Loss: 0.738445 * Train accuracy / confusion: 63.00% / [[281, 63, 13], [103, 133, 30], [28, 59, 90]], * Val accuracy / confusion: 54.81% / [[149, 69, 12], [47, 83, 45], [16, 46, 53]] ------------------------------ Epoch 128 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751675 - Iter 024 / 025, Loss: 0.950577 * Train accuracy / confusion: 59.00% / [[276, 60, 18], [108, 110, 54], [27, 61, 86]], * Val accuracy / confusion: 54.23% / [[127, 91, 12], [34, 121, 20], [9, 72, 34]] ------------------------------ Epoch 129 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664286 - Iter 024 / 025, Loss: 0.909827 * Train accuracy / confusion: 59.50% / [[276, 61, 22], [104, 110, 49], [33, 55, 90]], * Val accuracy / confusion: 55.38% / [[187, 42, 1], [79, 80, 16], [31, 63, 21]] ------------------------------ Epoch 130 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.911396 - Iter 024 / 025, Loss: 0.734681 * Train accuracy / confusion: 62.00% / [[268, 62, 23], [85, 128, 57], [29, 48, 100]], * Val accuracy / confusion: 56.35% / [[138, 69, 23], [31, 105, 39], [14, 51, 50]] ------------------------------ Epoch 131 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.807013 - Iter 024 / 025, Loss: 0.904975 * Train accuracy / confusion: 61.00% / [[280, 62, 14], [94, 136, 37], [25, 80, 72]], * Val accuracy / confusion: 57.50% / [[171, 45, 14], [57, 82, 36], [22, 47, 46]] ------------------------------ Epoch 132 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.667614 - Iter 024 / 025, Loss: 0.785887 * Train accuracy / confusion: 61.00% / [[282, 62, 12], [97, 114, 56], [28, 57, 92]], * Val accuracy / confusion: 54.42% / [[146, 58, 26], [47, 84, 44], [15, 47, 53]] ------------------------------ Epoch 133 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.728220 - Iter 024 / 025, Loss: 0.826117 * Train accuracy / confusion: 60.50% / [[280, 60, 15], [98, 125, 44], [31, 68, 79]], * Val accuracy / confusion: 57.69% / [[168, 50, 12], [61, 91, 23], [18, 56, 41]] ------------------------------ Epoch 134 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.803135 - Iter 024 / 025, Loss: 0.772132 * Train accuracy / confusion: 60.25% / [[280, 63, 10], [100, 119, 50], [28, 67, 83]], * Val accuracy / confusion: 54.62% / [[137, 67, 26], [35, 94, 46], [11, 51, 53]] ------------------------------ Epoch 135 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.793704 - Iter 024 / 025, Loss: 0.909434 * Train accuracy / confusion: 60.50% / [[274, 64, 20], [101, 120, 50], [24, 57, 90]], * Val accuracy / confusion: 53.46% / [[192, 31, 7], [98, 56, 21], [35, 50, 30]] ------------------------------ Epoch 136 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.742486 - Iter 024 / 025, Loss: 0.788750 * Train accuracy / confusion: 63.25% / [[281, 64, 14], [106, 127, 31], [27, 52, 98]], * Val accuracy / confusion: 55.19% / [[142, 73, 15], [44, 99, 32], [16, 53, 46]] ------------------------------ Epoch 137 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.669357 - Iter 024 / 025, Loss: 0.776847 * Train accuracy / confusion: 60.00% / [[274, 67, 11], [110, 118, 41], [34, 57, 88]], * Val accuracy / confusion: 59.23% / [[155, 59, 16], [39, 96, 40], [13, 45, 57]] ------------------------------ Epoch 138 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.865143 - Iter 024 / 025, Loss: 0.894858 * Train accuracy / confusion: 64.88% / [[279, 63, 16], [84, 144, 39], [22, 57, 96]], * Val accuracy / confusion: 57.88% / [[139, 68, 23], [34, 99, 42], [10, 42, 63]] ------------------------------ Epoch 139 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.758291 - Iter 024 / 025, Loss: 0.850877 * Train accuracy / confusion: 63.75% / [[294, 52, 15], [113, 113, 37], [32, 41, 103]], * Val accuracy / confusion: 56.73% / [[177, 41, 12], [71, 64, 40], [20, 41, 54]] ------------------------------ Epoch 140 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.685959 - Iter 024 / 025, Loss: 0.894296 * Train accuracy / confusion: 62.75% / [[284, 59, 11], [101, 119, 52], [27, 48, 99]], * Val accuracy / confusion: 56.92% / [[156, 66, 8], [48, 106, 21], [22, 59, 34]] ------------------------------ Epoch 141 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.987026 - Iter 024 / 025, Loss: 0.713060 * Train accuracy / confusion: 60.88% / [[261, 77, 16], [87, 144, 41], [26, 66, 82]], * Val accuracy / confusion: 55.58% / [[143, 60, 27], [44, 75, 56], [12, 32, 71]] ------------------------------ Epoch 142 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.809261 - Iter 024 / 025, Loss: 0.722261 * Train accuracy / confusion: 58.62% / [[266, 78, 12], [102, 136, 29], [28, 82, 67]], * Val accuracy / confusion: 56.92% / [[166, 47, 17], [65, 77, 33], [22, 40, 53]] ------------------------------ Epoch 143 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.851369 - Iter 024 / 025, Loss: 0.978389 * Train accuracy / confusion: 64.50% / [[287, 56, 13], [95, 115, 54], [23, 43, 114]], * Val accuracy / confusion: 57.12% / [[140, 79, 11], [36, 111, 28], [13, 56, 46]] ------------------------------ Epoch 144 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709094 - Iter 024 / 025, Loss: 0.792465 * Train accuracy / confusion: 61.00% / [[288, 50, 19], [107, 113, 48], [26, 62, 87]], * Val accuracy / confusion: 56.73% / [[179, 45, 6], [76, 78, 21], [24, 53, 38]] ------------------------------ Epoch 145 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.892340 - Iter 024 / 025, Loss: 0.874770 * Train accuracy / confusion: 61.25% / [[265, 78, 15], [89, 134, 44], [19, 65, 91]], * Val accuracy / confusion: 57.88% / [[170, 42, 18], [61, 87, 27], [24, 47, 44]] ------------------------------ Epoch 146 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798879 - Iter 024 / 025, Loss: 0.839754 * Train accuracy / confusion: 61.25% / [[292, 50, 17], [100, 113, 51], [31, 61, 85]], * Val accuracy / confusion: 51.92% / [[136, 61, 33], [41, 81, 53], [18, 44, 53]] ------------------------------ Epoch 147 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688892 - Iter 024 / 025, Loss: 0.692481 * Train accuracy / confusion: 62.00% / [[284, 64, 11], [99, 135, 31], [31, 68, 77]], * Val accuracy / confusion: 56.54% / [[179, 41, 10], [74, 86, 15], [30, 56, 29]] ------------------------------ Epoch 148 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.925772 - Iter 024 / 025, Loss: 0.746552 * Train accuracy / confusion: 64.12% / [[281, 54, 19], [96, 145, 32], [25, 61, 87]], * Val accuracy / confusion: 54.42% / [[151, 54, 25], [56, 84, 35], [16, 51, 48]] ------------------------------ Epoch 149 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844823 - Iter 024 / 025, Loss: 0.910291 * Train accuracy / confusion: 62.00% / [[282, 63, 12], [89, 139, 40], [33, 67, 75]], * Val accuracy / confusion: 58.27% / [[176, 31, 23], [69, 56, 50], [22, 22, 71]] ------------------------------ Epoch 150 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.847623 - Iter 024 / 025, Loss: 0.899959 * Train accuracy / confusion: 62.38% / [[290, 47, 17], [107, 124, 39], [31, 60, 85]], * Val accuracy / confusion: 57.50% / [[168, 52, 10], [61, 80, 34], [14, 50, 51]] ------------------------------ Epoch 151 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.600706 - Iter 024 / 025, Loss: 0.643718 * Train accuracy / confusion: 62.75% / [[284, 58, 14], [93, 135, 42], [26, 65, 83]], * Val accuracy / confusion: 57.12% / [[174, 48, 8], [71, 77, 27], [26, 43, 46]] ------------------------------ Epoch 152 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.934637 - Iter 024 / 025, Loss: 0.750475 * Train accuracy / confusion: 61.75% / [[284, 63, 9], [103, 138, 29], [31, 71, 72]], * Val accuracy / confusion: 54.81% / [[148, 58, 24], [51, 75, 49], [14, 39, 62]] ------------------------------ Epoch 153 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.781224 - Iter 024 / 025, Loss: 0.657819 * Train accuracy / confusion: 64.00% / [[280, 61, 16], [80, 137, 50], [27, 54, 95]], * Val accuracy / confusion: 55.38% / [[177, 41, 12], [76, 71, 28], [22, 53, 40]] ------------------------------ Epoch 154 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.795699 - Iter 024 / 025, Loss: 0.726535 * Train accuracy / confusion: 63.50% / [[290, 59, 7], [102, 141, 25], [29, 70, 77]], * Val accuracy / confusion: 56.73% / [[138, 73, 19], [39, 99, 37], [13, 44, 58]] ------------------------------ Epoch 155 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.906460 - Iter 024 / 025, Loss: 0.932759 * Train accuracy / confusion: 64.38% / [[280, 61, 14], [84, 141, 44], [25, 57, 94]], * Val accuracy / confusion: 55.00% / [[127, 54, 49], [40, 86, 49], [9, 33, 73]] ------------------------------ Epoch 156 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716031 - Iter 024 / 025, Loss: 0.857664 * Train accuracy / confusion: 61.00% / [[277, 64, 17], [92, 122, 50], [27, 62, 89]], * Val accuracy / confusion: 54.42% / [[193, 36, 1], [100, 56, 19], [37, 44, 34]] ------------------------------ Epoch 157 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.650652 - Iter 024 / 025, Loss: 0.937780 * Train accuracy / confusion: 62.50% / [[291, 54, 13], [101, 127, 38], [31, 63, 82]], * Val accuracy / confusion: 55.00% / [[159, 57, 14], [67, 79, 29], [17, 50, 48]] ------------------------------ Epoch 158 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.846559 - Iter 024 / 025, Loss: 0.735386 * Train accuracy / confusion: 63.12% / [[294, 50, 11], [101, 118, 49], [33, 51, 93]], * Val accuracy / confusion: 55.19% / [[183, 40, 7], [76, 68, 31], [27, 52, 36]] ------------------------------ Epoch 159 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.830641 - Iter 024 / 025, Loss: 0.828869 * Train accuracy / confusion: 64.75% / [[286, 56, 16], [89, 138, 37], [20, 64, 94]], * Val accuracy / confusion: 55.77% / [[141, 68, 21], [37, 102, 36], [8, 60, 47]] ------------------------------ Epoch 160 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.940521 - Iter 024 / 025, Loss: 0.707158 * Train accuracy / confusion: 62.00% / [[274, 64, 21], [84, 126, 53], [23, 59, 96]], * Val accuracy / confusion: 52.12% / [[131, 79, 20], [32, 96, 47], [10, 61, 44]] ------------------------------ Epoch 161 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.046950 - Iter 024 / 025, Loss: 0.946129 * Train accuracy / confusion: 59.62% / [[271, 73, 13], [89, 135, 43], [30, 75, 71]], * Val accuracy / confusion: 55.38% / [[176, 29, 25], [69, 46, 60], [19, 30, 66]] ------------------------------ Epoch 162 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791785 - Iter 024 / 025, Loss: 0.681099 * Train accuracy / confusion: 64.62% / [[287, 53, 16], [94, 147, 27], [25, 68, 83]], * Val accuracy / confusion: 57.31% / [[165, 49, 16], [58, 76, 41], [15, 43, 57]] ------------------------------ Epoch 163 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676654 - Iter 024 / 025, Loss: 0.801829 * Train accuracy / confusion: 61.62% / [[278, 64, 15], [102, 108, 57], [20, 49, 107]], * Val accuracy / confusion: 57.31% / [[187, 37, 6], [81, 83, 11], [25, 62, 28]] ------------------------------ Epoch 164 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905875 - Iter 024 / 025, Loss: 0.893870 * Train accuracy / confusion: 59.75% / [[282, 72, 6], [102, 139, 24], [28, 90, 57]], * Val accuracy / confusion: 58.08% / [[181, 39, 10], [77, 67, 31], [30, 31, 54]] ------------------------------ Epoch 165 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844517 - Iter 024 / 025, Loss: 0.887048 * Train accuracy / confusion: 61.88% / [[272, 69, 11], [99, 129, 44], [22, 60, 94]], * Val accuracy / confusion: 56.15% / [[168, 54, 8], [62, 85, 28], [23, 53, 39]] ------------------------------ Epoch 166 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972265 - Iter 024 / 025, Loss: 0.672207 * Train accuracy / confusion: 65.38% / [[280, 57, 19], [88, 139, 45], [23, 45, 104]], * Val accuracy / confusion: 54.62% / [[162, 55, 13], [63, 83, 29], [25, 51, 39]] ------------------------------ Epoch 167 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905445 - Iter 024 / 025, Loss: 0.879097 * Train accuracy / confusion: 63.12% / [[269, 75, 14], [84, 155, 28], [19, 75, 81]], * Val accuracy / confusion: 55.19% / [[156, 57, 17], [53, 92, 30], [16, 60, 39]] ------------------------------ Epoch 168 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861099 - Iter 024 / 025, Loss: 0.723929 * Train accuracy / confusion: 65.38% / [[293, 48, 15], [100, 123, 50], [27, 37, 107]], * Val accuracy / confusion: 51.35% / [[115, 92, 23], [30, 105, 40], [8, 60, 47]] ------------------------------ Epoch 169 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.644276 - Iter 024 / 025, Loss: 0.831874 * Train accuracy / confusion: 61.38% / [[283, 59, 18], [111, 119, 33], [27, 61, 89]], * Val accuracy / confusion: 55.19% / [[151, 45, 34], [46, 63, 66], [19, 23, 73]] ------------------------------ Epoch 170 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.780324 - Iter 024 / 025, Loss: 0.773967 * Train accuracy / confusion: 63.50% / [[276, 68, 10], [78, 152, 37], [22, 77, 80]], * Val accuracy / confusion: 56.92% / [[173, 51, 6], [59, 96, 20], [26, 62, 27]] ------------------------------ Epoch 171 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823404 - Iter 024 / 025, Loss: 0.842526 * Train accuracy / confusion: 61.00% / [[278, 58, 20], [98, 120, 53], [32, 51, 90]], * Val accuracy / confusion: 59.42% / [[164, 48, 18], [53, 86, 36], [17, 39, 59]] ------------------------------ Epoch 172 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.830186 - Iter 024 / 025, Loss: 1.157114 * Train accuracy / confusion: 62.00% / [[287, 61, 12], [93, 122, 47], [31, 60, 87]], * Val accuracy / confusion: 59.42% / [[181, 35, 14], [69, 64, 42], [20, 31, 64]] ------------------------------ Epoch 173 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861670 - Iter 024 / 025, Loss: 0.770934 * Train accuracy / confusion: 62.12% / [[279, 60, 17], [91, 128, 49], [29, 57, 90]], * Val accuracy / confusion: 58.27% / [[160, 60, 10], [60, 81, 34], [19, 34, 62]] ------------------------------ Epoch 174 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.735902 - Iter 024 / 025, Loss: 0.697698 * Train accuracy / confusion: 62.25% / [[267, 60, 22], [94, 142, 34], [32, 60, 89]], * Val accuracy / confusion: 57.50% / [[148, 64, 18], [44, 84, 47], [17, 31, 67]] ------------------------------ Epoch 175 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909546 - Iter 024 / 025, Loss: 0.677457 * Train accuracy / confusion: 63.00% / [[266, 74, 12], [78, 154, 39], [27, 66, 84]], * Val accuracy / confusion: 55.19% / [[169, 55, 6], [70, 84, 21], [24, 57, 34]] ------------------------------ Epoch 176 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.797022 - Iter 024 / 025, Loss: 0.934855 * Train accuracy / confusion: 62.88% / [[285, 55, 15], [104, 122, 39], [27, 57, 96]], * Val accuracy / confusion: 57.50% / [[157, 53, 20], [52, 72, 51], [14, 31, 70]] ------------------------------ Epoch 177 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.845849 - Iter 024 / 025, Loss: 0.701645 * Train accuracy / confusion: 62.50% / [[260, 74, 19], [90, 145, 38], [22, 57, 95]], * Val accuracy / confusion: 55.58% / [[183, 40, 7], [83, 73, 19], [35, 47, 33]] ------------------------------ Epoch 178 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.876833 - Iter 024 / 025, Loss: 0.760271 * Train accuracy / confusion: 61.25% / [[284, 59, 13], [109, 127, 32], [32, 65, 79]], * Val accuracy / confusion: 58.46% / [[160, 55, 15], [60, 85, 30], [20, 36, 59]] ------------------------------ Epoch 179 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.932118 - Iter 024 / 025, Loss: 0.803248 * Train accuracy / confusion: 62.88% / [[275, 60, 20], [96, 129, 46], [23, 52, 99]], * Val accuracy / confusion: 57.31% / [[157, 61, 12], [55, 86, 34], [17, 43, 55]] ------------------------------ Epoch 180 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.820664 - Iter 024 / 025, Loss: 0.866317 * Train accuracy / confusion: 65.00% / [[274, 61, 18], [86, 138, 46], [19, 50, 108]], * Val accuracy / confusion: 56.15% / [[145, 70, 15], [43, 88, 44], [13, 43, 59]] ------------------------------ Epoch 181 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.747974 - Iter 024 / 025, Loss: 0.789694 * Train accuracy / confusion: 67.00% / [[283, 63, 14], [78, 156, 30], [22, 57, 97]], * Val accuracy / confusion: 56.15% / [[164, 45, 21], [63, 62, 50], [23, 26, 66]] ------------------------------ Epoch 182 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723949 - Iter 024 / 025, Loss: 0.821754 * Train accuracy / confusion: 62.75% / [[278, 60, 15], [103, 126, 43], [29, 48, 98]], * Val accuracy / confusion: 54.62% / [[165, 45, 20], [65, 61, 49], [23, 34, 58]] ------------------------------ Epoch 183 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.832636 - Iter 024 / 025, Loss: 0.794447 * Train accuracy / confusion: 63.38% / [[275, 62, 16], [92, 137, 40], [27, 56, 95]], * Val accuracy / confusion: 58.85% / [[164, 54, 12], [54, 92, 29], [16, 49, 50]] ------------------------------ Epoch 184 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.112937 - Iter 024 / 025, Loss: 0.649301 * Train accuracy / confusion: 64.12% / [[285, 53, 19], [98, 128, 42], [18, 57, 100]], * Val accuracy / confusion: 57.31% / [[163, 46, 21], [55, 64, 56], [18, 26, 71]] ------------------------------ Epoch 185 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823841 - Iter 024 / 025, Loss: 1.139748 * Train accuracy / confusion: 61.00% / [[271, 80, 6], [93, 139, 34], [20, 79, 78]], * Val accuracy / confusion: 60.38% / [[160, 57, 13], [46, 91, 38], [23, 29, 63]] ------------------------------ Epoch 186 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.815279 - Iter 024 / 025, Loss: 0.920063 * Train accuracy / confusion: 63.88% / [[271, 70, 12], [77, 152, 39], [23, 68, 88]], * Val accuracy / confusion: 57.31% / [[182, 40, 8], [73, 72, 30], [32, 39, 44]] ------------------------------ Epoch 187 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686338 - Iter 024 / 025, Loss: 1.049029 * Train accuracy / confusion: 64.50% / [[292, 53, 15], [89, 135, 44], [23, 60, 89]], * Val accuracy / confusion: 56.73% / [[180, 41, 9], [80, 55, 40], [29, 26, 60]] ------------------------------ Epoch 188 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672966 - Iter 024 / 025, Loss: 0.841280 * Train accuracy / confusion: 63.25% / [[266, 79, 11], [83, 146, 42], [21, 58, 94]], * Val accuracy / confusion: 55.00% / [[157, 62, 11], [69, 79, 27], [19, 46, 50]] ------------------------------ Epoch 189 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720036 - Iter 024 / 025, Loss: 0.766273 * Train accuracy / confusion: 62.12% / [[279, 60, 15], [113, 126, 30], [25, 60, 92]], * Val accuracy / confusion: 55.00% / [[150, 68, 12], [51, 97, 27], [19, 57, 39]] ------------------------------ Epoch 190 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.958808 - Iter 024 / 025, Loss: 1.064972 * Train accuracy / confusion: 65.50% / [[273, 65, 17], [78, 156, 39], [23, 54, 95]], * Val accuracy / confusion: 57.31% / [[167, 60, 3], [58, 94, 23], [19, 59, 37]] ------------------------------ Epoch 191 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.740824 - Iter 024 / 025, Loss: 0.701351 * Train accuracy / confusion: 62.00% / [[265, 64, 20], [88, 148, 35], [28, 69, 83]], * Val accuracy / confusion: 57.69% / [[159, 58, 13], [53, 90, 32], [13, 51, 51]] ------------------------------ Epoch 192 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.804238 - Iter 024 / 025, Loss: 0.615279 * Train accuracy / confusion: 63.00% / [[275, 69, 12], [90, 145, 38], [26, 61, 84]], * Val accuracy / confusion: 55.77% / [[136, 67, 27], [39, 94, 42], [13, 42, 60]] ------------------------------ Epoch 193 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.808383 - Iter 024 / 025, Loss: 0.703578 * Train accuracy / confusion: 64.75% / [[272, 69, 15], [83, 144, 42], [19, 54, 102]], * Val accuracy / confusion: 59.04% / [[182, 39, 9], [77, 69, 29], [28, 31, 56]] ------------------------------ Epoch 194 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897582 - Iter 024 / 025, Loss: 0.732985 * Train accuracy / confusion: 62.75% / [[275, 70, 15], [89, 145, 34], [20, 70, 82]], * Val accuracy / confusion: 56.92% / [[190, 37, 3], [81, 75, 19], [33, 51, 31]] ------------------------------ Epoch 195 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.714842 - Iter 024 / 025, Loss: 0.771428 * Train accuracy / confusion: 63.25% / [[267, 75, 14], [81, 146, 39], [20, 65, 93]], * Val accuracy / confusion: 53.85% / [[120, 98, 12], [33, 113, 29], [8, 60, 47]] ------------------------------ Epoch 196 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811129 - Iter 024 / 025, Loss: 0.707490 * Train accuracy / confusion: 62.25% / [[277, 70, 10], [88, 138, 42], [24, 68, 83]], * Val accuracy / confusion: 55.19% / [[158, 54, 18], [54, 79, 42], [20, 45, 50]] ------------------------------ Epoch 197 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.736101 - Iter 024 / 025, Loss: 0.789573 * Train accuracy / confusion: 64.62% / [[280, 65, 14], [80, 152, 36], [30, 58, 85]], * Val accuracy / confusion: 54.42% / [[153, 65, 12], [59, 80, 36], [20, 45, 50]] ------------------------------ Epoch 198 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.771030 - Iter 024 / 025, Loss: 0.605178 * Train accuracy / confusion: 64.88% / [[289, 52, 14], [100, 130, 36], [27, 52, 100]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [46, 79, 50], [16, 35, 64]] ------------------------------ Epoch 199 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.848310 - Iter 024 / 025, Loss: 0.890194 * Train accuracy / confusion: 65.12% / [[280, 58, 18], [87, 136, 47], [21, 48, 105]], * Val accuracy / confusion: 55.19% / [[140, 84, 6], [39, 107, 29], [10, 65, 40]] ------------------------------ Epoch 200 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.768860 - Iter 024 / 025, Loss: 0.661993 * Train accuracy / confusion: 64.38% / [[284, 59, 12], [86, 144, 38], [25, 65, 87]], * Val accuracy / confusion: 53.65% / [[139, 54, 37], [45, 65, 65], [15, 25, 75]] ------------------------------ Epoch 201 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897408 - Iter 024 / 025, Loss: 1.016318 * Train accuracy / confusion: 62.88% / [[278, 59, 23], [85, 132, 50], [31, 49, 93]], * Val accuracy / confusion: 56.54% / [[169, 55, 6], [70, 83, 22], [25, 48, 42]] ------------------------------ Epoch 202 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.825063 - Iter 024 / 025, Loss: 0.825699 * Train accuracy / confusion: 64.75% / [[290, 54, 11], [85, 145, 39], [22, 71, 83]], * Val accuracy / confusion: 59.23% / [[173, 46, 11], [60, 78, 37], [20, 38, 57]] ------------------------------ Epoch 203 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720779 - Iter 024 / 025, Loss: 0.817844 * Train accuracy / confusion: 65.12% / [[282, 63, 13], [88, 145, 34], [26, 55, 94]], * Val accuracy / confusion: 56.35% / [[138, 88, 4], [37, 124, 14], [11, 73, 31]] ------------------------------ Epoch 204 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812930 - Iter 024 / 025, Loss: 0.816571 * Train accuracy / confusion: 64.25% / [[280, 59, 18], [82, 137, 48], [25, 54, 97]], * Val accuracy / confusion: 54.42% / [[150, 64, 16], [55, 83, 37], [20, 45, 50]] ------------------------------ Epoch 205 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.756172 - Iter 024 / 025, Loss: 0.779630 * Train accuracy / confusion: 65.62% / [[296, 49, 13], [101, 132, 34], [21, 57, 97]], * Val accuracy / confusion: 53.85% / [[171, 50, 9], [83, 62, 30], [24, 44, 47]] ------------------------------ Epoch 206 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.775211 - Iter 024 / 025, Loss: 0.931178 * Train accuracy / confusion: 65.12% / [[281, 64, 10], [83, 145, 43], [18, 61, 95]], * Val accuracy / confusion: 56.35% / [[155, 66, 9], [58, 87, 30], [15, 49, 51]] ------------------------------ Epoch 207 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.833201 - Iter 024 / 025, Loss: 1.053087 * Train accuracy / confusion: 64.12% / [[274, 67, 13], [91, 151, 28], [23, 65, 88]], * Val accuracy / confusion: 58.65% / [[175, 44, 11], [63, 74, 38], [26, 33, 56]] ------------------------------ Epoch 208 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720929 - Iter 024 / 025, Loss: 0.884919 * Train accuracy / confusion: 65.00% / [[268, 71, 14], [85, 147, 37], [25, 48, 105]], * Val accuracy / confusion: 59.23% / [[172, 41, 17], [62, 73, 40], [22, 30, 63]] ------------------------------ Epoch 209 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.053646 - Iter 024 / 025, Loss: 0.761525 * Train accuracy / confusion: 64.62% / [[282, 57, 19], [97, 139, 35], [24, 51, 96]], * Val accuracy / confusion: 54.23% / [[153, 59, 18], [60, 76, 39], [15, 47, 53]] ------------------------------ Epoch 210 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814407 - Iter 024 / 025, Loss: 0.715794 * Train accuracy / confusion: 62.62% / [[283, 62, 15], [96, 127, 43], [22, 61, 91]], * Val accuracy / confusion: 57.88% / [[159, 57, 14], [65, 82, 28], [18, 37, 60]] ------------------------------ Epoch 211 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613843 - Iter 024 / 025, Loss: 0.516294 * Train accuracy / confusion: 65.25% / [[281, 57, 13], [79, 136, 56], [14, 59, 105]], * Val accuracy / confusion: 52.88% / [[152, 74, 4], [59, 103, 13], [23, 72, 20]] ------------------------------ Epoch 212 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.906059 - Iter 024 / 025, Loss: 0.739646 * Train accuracy / confusion: 62.38% / [[275, 71, 13], [95, 142, 29], [26, 67, 82]], * Val accuracy / confusion: 53.65% / [[136, 67, 27], [44, 89, 42], [14, 47, 54]] ------------------------------ Epoch 213 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.949146 - Iter 024 / 025, Loss: 0.623608 * Train accuracy / confusion: 62.88% / [[272, 54, 25], [95, 134, 43], [37, 43, 97]], * Val accuracy / confusion: 52.88% / [[124, 85, 21], [37, 103, 35], [15, 52, 48]] ------------------------------ Epoch 214 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.639450 - Iter 024 / 025, Loss: 0.878105 * Train accuracy / confusion: 62.38% / [[269, 73, 16], [84, 127, 50], [27, 51, 103]], * Val accuracy / confusion: 56.15% / [[172, 51, 7], [71, 79, 25], [24, 50, 41]] ------------------------------ Epoch 215 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829747 - Iter 024 / 025, Loss: 0.667517 * Train accuracy / confusion: 65.50% / [[296, 46, 12], [91, 145, 30], [32, 65, 83]], * Val accuracy / confusion: 55.00% / [[160, 55, 15], [61, 76, 38], [17, 48, 50]] ------------------------------ Epoch 216 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.981044 - Iter 024 / 025, Loss: 0.751612 * Train accuracy / confusion: 63.00% / [[267, 67, 19], [91, 131, 47], [20, 52, 106]], * Val accuracy / confusion: 57.12% / [[155, 68, 7], [52, 95, 28], [19, 49, 47]] ------------------------------ Epoch 217 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.818630 - Iter 024 / 025, Loss: 0.937343 * Train accuracy / confusion: 61.88% / [[281, 62, 13], [104, 122, 43], [34, 49, 92]], * Val accuracy / confusion: 57.69% / [[162, 57, 11], [61, 85, 29], [19, 43, 53]] ------------------------------ Epoch 218 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.916637 - Iter 024 / 025, Loss: 0.668069 * Train accuracy / confusion: 67.25% / [[287, 61, 12], [84, 149, 35], [20, 50, 102]], * Val accuracy / confusion: 56.15% / [[162, 53, 15], [64, 84, 27], [20, 49, 46]] ------------------------------ Epoch 219 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.924485 - Iter 024 / 025, Loss: 0.919546 * Train accuracy / confusion: 67.50% / [[296, 49, 14], [86, 147, 33], [25, 53, 97]], * Val accuracy / confusion: 55.96% / [[164, 57, 9], [68, 82, 25], [22, 48, 45]] ------------------------------ Epoch 220 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.816060 - Iter 024 / 025, Loss: 0.833224 * Train accuracy / confusion: 66.25% / [[276, 73, 11], [76, 158, 37], [16, 57, 96]], * Val accuracy / confusion: 57.50% / [[156, 51, 23], [52, 76, 47], [14, 34, 67]] ------------------------------ Epoch 221 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.983398 - Iter 024 / 025, Loss: 0.807309 * Train accuracy / confusion: 64.38% / [[276, 59, 19], [85, 143, 40], [17, 65, 96]], * Val accuracy / confusion: 58.27% / [[162, 51, 17], [65, 78, 32], [18, 34, 63]] ------------------------------ Epoch 222 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.935350 - Iter 024 / 025, Loss: 0.935828 * Train accuracy / confusion: 65.75% / [[292, 53, 14], [83, 150, 32], [32, 60, 84]], * Val accuracy / confusion: 52.88% / [[156, 63, 11], [61, 86, 28], [18, 64, 33]] ------------------------------ Epoch 223 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672872 - Iter 024 / 025, Loss: 1.004188 * Train accuracy / confusion: 65.00% / [[279, 56, 19], [82, 143, 45], [21, 57, 98]], * Val accuracy / confusion: 55.96% / [[168, 47, 15], [70, 68, 37], [25, 35, 55]] ------------------------------ Epoch 224 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.904950 - Iter 024 / 025, Loss: 0.876860 * Train accuracy / confusion: 63.88% / [[267, 74, 18], [83, 153, 31], [28, 55, 91]], * Val accuracy / confusion: 56.35% / [[151, 75, 4], [50, 103, 22], [19, 57, 39]] ------------------------------ Epoch 225 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.698619 - Iter 024 / 025, Loss: 0.905537 * Train accuracy / confusion: 67.00% / [[294, 53, 9], [87, 151, 31], [23, 61, 91]], * Val accuracy / confusion: 55.96% / [[161, 60, 9], [57, 87, 31], [18, 54, 43]] ------------------------------ Epoch 226 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673081 - Iter 024 / 025, Loss: 1.016565 * Train accuracy / confusion: 63.75% / [[265, 65, 23], [88, 148, 30], [24, 60, 97]], * Val accuracy / confusion: 56.92% / [[153, 62, 15], [53, 90, 32], [17, 45, 53]] ------------------------------ Epoch 227 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716601 - Iter 024 / 025, Loss: 0.701715 * Train accuracy / confusion: 65.88% / [[289, 50, 19], [83, 143, 46], [28, 47, 95]], * Val accuracy / confusion: 55.00% / [[170, 48, 12], [77, 65, 33], [24, 40, 51]] ------------------------------ Epoch 228 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812883 - Iter 024 / 025, Loss: 0.854196 * Train accuracy / confusion: 64.25% / [[280, 59, 17], [79, 150, 39], [20, 72, 84]], * Val accuracy / confusion: 54.42% / [[145, 68, 17], [49, 81, 45], [19, 39, 57]] ------------------------------ Epoch 229 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.766995 - Iter 024 / 025, Loss: 0.840446 * Train accuracy / confusion: 64.62% / [[280, 55, 21], [95, 135, 38], [35, 39, 102]], * Val accuracy / confusion: 54.81% / [[146, 57, 27], [49, 77, 49], [18, 35, 62]] ------------------------------ Epoch 230 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.796218 - Iter 024 / 025, Loss: 0.576636 * Train accuracy / confusion: 68.25% / [[286, 54, 12], [85, 151, 35], [19, 49, 109]], * Val accuracy / confusion: 56.73% / [[155, 55, 20], [58, 79, 38], [17, 37, 61]] ------------------------------ Epoch 231 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688484 - Iter 024 / 025, Loss: 0.933330 * Train accuracy / confusion: 66.50% / [[295, 55, 10], [87, 141, 38], [18, 60, 96]], * Val accuracy / confusion: 55.77% / [[138, 72, 20], [50, 81, 44], [12, 32, 71]] ------------------------------ Epoch 232 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.919159 - Iter 024 / 025, Loss: 0.981400 * Train accuracy / confusion: 66.25% / [[292, 53, 13], [96, 143, 30], [26, 52, 95]], * Val accuracy / confusion: 58.85% / [[164, 56, 10], [64, 88, 23], [19, 42, 54]] ------------------------------ Epoch 233 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723757 - Iter 024 / 025, Loss: 0.754041 * Train accuracy / confusion: 64.75% / [[274, 57, 22], [84, 134, 55], [21, 43, 110]], * Val accuracy / confusion: 56.54% / [[152, 68, 10], [58, 99, 18], [19, 53, 43]] ------------------------------ Epoch 234 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668359 - Iter 024 / 025, Loss: 0.801658 * Train accuracy / confusion: 64.25% / [[275, 69, 11], [79, 150, 37], [27, 63, 89]], * Val accuracy / confusion: 57.31% / [[158, 57, 15], [58, 90, 27], [13, 52, 50]] ------------------------------ Epoch 235 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613445 - Iter 024 / 025, Loss: 0.761641 * Train accuracy / confusion: 64.50% / [[285, 50, 19], [90, 140, 38], [20, 67, 91]], * Val accuracy / confusion: 56.73% / [[148, 70, 12], [60, 94, 21], [16, 46, 53]] ------------------------------ Epoch 236 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798694 - Iter 024 / 025, Loss: 1.001772 * Train accuracy / confusion: 64.50% / [[264, 74, 17], [81, 144, 40], [24, 48, 108]], * Val accuracy / confusion: 57.31% / [[164, 41, 25], [57, 69, 49], [19, 31, 65]] ------------------------------ Epoch 237 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.925029 - Iter 024 / 025, Loss: 0.864729 * Train accuracy / confusion: 64.62% / [[272, 69, 13], [86, 151, 35], [27, 53, 94]], * Val accuracy / confusion: 56.54% / [[159, 56, 15], [64, 73, 38], [17, 36, 62]] ------------------------------ Epoch 238 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.596744 - Iter 024 / 025, Loss: 0.745607 * Train accuracy / confusion: 67.38% / [[286, 59, 12], [82, 156, 28], [26, 54, 97]], * Val accuracy / confusion: 57.31% / [[152, 67, 11], [53, 95, 27], [14, 50, 51]] ------------------------------ Epoch 239 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.760225 - Iter 024 / 025, Loss: 0.658648 * Train accuracy / confusion: 65.12% / [[284, 59, 18], [78, 148, 41], [21, 62, 89]], * Val accuracy / confusion: 60.58% / [[175, 41, 14], [64, 86, 25], [24, 37, 54]] ------------------------------ Epoch 240 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.980329 - Iter 024 / 025, Loss: 0.668291 * Train accuracy / confusion: 65.75% / [[284, 58, 17], [88, 139, 37], [24, 50, 103]], * Val accuracy / confusion: 55.38% / [[156, 68, 6], [59, 109, 7], [20, 72, 23]] ------------------------------ Epoch 241 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.630810 - Iter 024 / 025, Loss: 0.643001 * Train accuracy / confusion: 65.62% / [[275, 65, 20], [83, 152, 30], [20, 57, 98]], * Val accuracy / confusion: 52.31% / [[149, 33, 48], [49, 48, 78], [13, 27, 75]] ------------------------------ Epoch 242 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.907262 - Iter 024 / 025, Loss: 0.943134 * Train accuracy / confusion: 62.50% / [[280, 65, 14], [100, 127, 40], [33, 48, 93]], * Val accuracy / confusion: 57.50% / [[171, 45, 14], [70, 75, 30], [22, 40, 53]] ------------------------------ Epoch 243 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.687055 - Iter 024 / 025, Loss: 0.786876 * Train accuracy / confusion: 67.25% / [[272, 63, 18], [78, 159, 35], [19, 49, 107]], * Val accuracy / confusion: 57.69% / [[163, 62, 5], [63, 94, 18], [21, 51, 43]] ------------------------------ Epoch 244 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789830 - Iter 024 / 025, Loss: 0.784334 * Train accuracy / confusion: 65.12% / [[289, 59, 13], [83, 140, 39], [35, 50, 92]], * Val accuracy / confusion: 57.88% / [[165, 51, 14], [53, 86, 36], [19, 46, 50]] ------------------------------ Epoch 245 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.643613 - Iter 024 / 025, Loss: 0.842412 * Train accuracy / confusion: 65.00% / [[283, 57, 15], [94, 145, 32], [22, 60, 92]], * Val accuracy / confusion: 55.00% / [[155, 47, 28], [56, 62, 57], [15, 31, 69]] ------------------------------ Epoch 246 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.619906 - Iter 024 / 025, Loss: 0.474638 * Train accuracy / confusion: 64.75% / [[272, 77, 8], [77, 153, 38], [22, 60, 93]], * Val accuracy / confusion: 56.92% / [[159, 54, 17], [53, 75, 47], [19, 34, 62]] ------------------------------ Epoch 247 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.890430 - Iter 024 / 025, Loss: 0.924233 * Train accuracy / confusion: 64.25% / [[293, 49, 16], [97, 131, 36], [31, 57, 90]], * Val accuracy / confusion: 57.31% / [[163, 60, 7], [61, 99, 15], [23, 56, 36]] ------------------------------ Epoch 248 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.697796 - Iter 024 / 025, Loss: 0.597478 * Train accuracy / confusion: 64.12% / [[279, 61, 18], [85, 137, 43], [18, 62, 97]], * Val accuracy / confusion: 53.85% / [[142, 50, 38], [53, 57, 65], [18, 16, 81]] ------------------------------ Epoch 249 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789092 - Iter 024 / 025, Loss: 0.712100 * Train accuracy / confusion: 63.12% / [[276, 65, 15], [91, 137, 40], [22, 62, 92]], * Val accuracy / confusion: 57.88% / [[161, 63, 6], [55, 113, 7], [19, 69, 27]] ------------------------------ Epoch 250 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838307 - Iter 024 / 025, Loss: 0.895612 * Train accuracy / confusion: 65.88% / [[287, 56, 14], [87, 141, 38], [31, 47, 99]], * Val accuracy / confusion: 57.12% / [[150, 71, 9], [44, 107, 24], [15, 60, 40]] ------------------------------ Epoch 251 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.878819 - Iter 024 / 025, Loss: 0.768075 * Train accuracy / confusion: 64.62% / [[262, 80, 14], [63, 166, 40], [11, 75, 89]], * Val accuracy / confusion: 57.50% / [[151, 73, 6], [46, 110, 19], [17, 60, 38]] ------------------------------ Epoch 252 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909996 - Iter 024 / 025, Loss: 0.753260 * Train accuracy / confusion: 64.88% / [[289, 48, 16], [94, 132, 45], [25, 53, 98]], * Val accuracy / confusion: 58.65% / [[163, 56, 11], [54, 91, 30], [18, 46, 51]] ------------------------------ Epoch 253 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.727153 - Iter 024 / 025, Loss: 1.007479 * Train accuracy / confusion: 64.50% / [[282, 64, 10], [93, 140, 35], [24, 58, 94]], * Val accuracy / confusion: 58.27% / [[167, 51, 12], [68, 66, 41], [19, 26, 70]] ------------------------------ Epoch 254 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.954379 - Iter 024 / 025, Loss: 0.853934 * Train accuracy / confusion: 62.00% / [[273, 66, 16], [89, 126, 53], [32, 48, 97]], * Val accuracy / confusion: 58.65% / [[146, 75, 9], [40, 108, 27], [15, 49, 51]] ------------------------------ Epoch 255 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.742814 - Iter 024 / 025, Loss: 0.709736 * Train accuracy / confusion: 62.75% / [[276, 60, 18], [90, 145, 33], [32, 65, 81]], * Val accuracy / confusion: 56.92% / [[148, 57, 25], [45, 84, 46], [15, 36, 64]] ------------------------------ Epoch 256 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.690801 - Iter 024 / 025, Loss: 0.732259 * Train accuracy / confusion: 64.88% / [[279, 62, 16], [89, 151, 29], [24, 61, 89]], * Val accuracy / confusion: 53.65% / [[159, 46, 25], [68, 51, 56], [28, 18, 69]] ------------------------------ Epoch 257 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737096 - Iter 024 / 025, Loss: 0.886733 * Train accuracy / confusion: 65.00% / [[281, 58, 15], [85, 140, 47], [18, 57, 99]], * Val accuracy / confusion: 58.65% / [[172, 50, 8], [60, 95, 20], [23, 54, 38]] ------------------------------ Epoch 258 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.793711 - Iter 024 / 025, Loss: 0.825910 * Train accuracy / confusion: 66.25% / [[282, 68, 8], [92, 156, 20], [26, 56, 92]], * Val accuracy / confusion: 56.54% / [[152, 57, 21], [44, 78, 53], [14, 37, 64]] ------------------------------ Epoch 259 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.871040 - Iter 024 / 025, Loss: 0.727592 * Train accuracy / confusion: 66.12% / [[290, 49, 19], [95, 130, 42], [23, 43, 109]], * Val accuracy / confusion: 59.23% / [[172, 49, 9], [63, 75, 37], [20, 34, 61]] ------------------------------ Epoch 260 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.888317 - Iter 024 / 025, Loss: 0.737538 * Train accuracy / confusion: 66.88% / [[279, 71, 12], [70, 160, 31], [24, 57, 96]], * Val accuracy / confusion: 53.46% / [[155, 70, 5], [67, 85, 23], [23, 54, 38]] ------------------------------ Epoch 261 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699349 - Iter 024 / 025, Loss: 0.805036 * Train accuracy / confusion: 66.88% / [[297, 48, 14], [87, 142, 35], [23, 58, 96]], * Val accuracy / confusion: 54.81% / [[156, 59, 15], [71, 75, 29], [20, 41, 54]] ------------------------------ Epoch 262 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.881083 - Iter 024 / 025, Loss: 0.640832 * Train accuracy / confusion: 67.25% / [[281, 60, 13], [82, 150, 36], [21, 50, 107]], * Val accuracy / confusion: 58.85% / [[167, 45, 18], [59, 73, 43], [20, 29, 66]] ------------------------------ Epoch 263 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.580367 - Iter 024 / 025, Loss: 0.816712 * Train accuracy / confusion: 64.50% / [[273, 62, 15], [86, 147, 40], [27, 54, 96]], * Val accuracy / confusion: 60.00% / [[160, 55, 15], [54, 94, 27], [17, 40, 58]] ------------------------------ Epoch 264 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.773775 - Iter 024 / 025, Loss: 0.656607 * Train accuracy / confusion: 66.12% / [[269, 72, 15], [87, 152, 29], [20, 48, 108]], * Val accuracy / confusion: 58.08% / [[158, 65, 7], [49, 110, 16], [27, 54, 34]] ------------------------------ Epoch 265 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.763802 - Iter 024 / 025, Loss: 0.678575 * Train accuracy / confusion: 65.62% / [[298, 43, 18], [98, 129, 35], [27, 54, 98]], * Val accuracy / confusion: 60.19% / [[168, 43, 19], [63, 75, 37], [17, 28, 70]] ------------------------------ Epoch 266 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.670648 - Iter 024 / 025, Loss: 0.862059 * Train accuracy / confusion: 66.88% / [[286, 64, 8], [75, 161, 30], [24, 64, 88]], * Val accuracy / confusion: 55.19% / [[150, 55, 25], [55, 73, 47], [15, 36, 64]] ------------------------------ Epoch 267 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868113 - Iter 024 / 025, Loss: 0.716614 * Train accuracy / confusion: 64.00% / [[276, 60, 20], [88, 127, 55], [18, 47, 109]], * Val accuracy / confusion: 55.77% / [[139, 63, 28], [43, 94, 38], [8, 50, 57]] ------------------------------ Epoch 268 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.724212 - Iter 024 / 025, Loss: 0.834401 * Train accuracy / confusion: 66.38% / [[289, 52, 14], [95, 137, 35], [27, 46, 105]], * Val accuracy / confusion: 60.19% / [[149, 75, 6], [47, 115, 13], [14, 52, 49]] ------------------------------ Epoch 269 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672675 - Iter 024 / 025, Loss: 0.829761 * Train accuracy / confusion: 66.50% / [[283, 56, 15], [75, 148, 44], [21, 57, 101]], * Val accuracy / confusion: 56.54% / [[170, 27, 33], [75, 45, 55], [18, 18, 79]] ------------------------------ Epoch 270 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.803442 - Iter 024 / 025, Loss: 0.681743 * Train accuracy / confusion: 67.75% / [[295, 53, 13], [83, 145, 35], [24, 50, 102]], * Val accuracy / confusion: 58.08% / [[184, 36, 10], [86, 63, 26], [29, 31, 55]] ------------------------------ Epoch 271 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.620707 - Iter 024 / 025, Loss: 0.665762 * Train accuracy / confusion: 67.00% / [[292, 53, 13], [85, 150, 34], [22, 57, 94]], * Val accuracy / confusion: 57.69% / [[148, 62, 20], [48, 93, 34], [17, 39, 59]] ------------------------------ Epoch 272 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723086 - Iter 024 / 025, Loss: 0.752804 * Train accuracy / confusion: 65.00% / [[277, 64, 16], [80, 144, 39], [25, 56, 99]], * Val accuracy / confusion: 56.73% / [[154, 56, 20], [53, 86, 36], [21, 39, 55]] ------------------------------ Epoch 273 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751471 - Iter 024 / 025, Loss: 0.839718 * Train accuracy / confusion: 65.00% / [[278, 68, 12], [97, 140, 31], [26, 46, 102]], * Val accuracy / confusion: 53.65% / [[120, 73, 37], [40, 80, 55], [10, 26, 79]] ------------------------------ Epoch 274 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712086 - Iter 024 / 025, Loss: 0.648874 * Train accuracy / confusion: 63.75% / [[294, 49, 15], [111, 117, 37], [31, 47, 99]], * Val accuracy / confusion: 58.65% / [[184, 27, 19], [84, 57, 34], [20, 31, 64]] ------------------------------ Epoch 275 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.660814 - Iter 024 / 025, Loss: 0.870986 * Train accuracy / confusion: 64.88% / [[269, 60, 22], [89, 139, 40], [17, 53, 111]], * Val accuracy / confusion: 55.19% / [[137, 80, 13], [44, 103, 28], [13, 55, 47]] ------------------------------ Epoch 276 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.576282 - Iter 024 / 025, Loss: 0.774611 * Train accuracy / confusion: 66.12% / [[292, 50, 11], [102, 141, 28], [30, 50, 96]], * Val accuracy / confusion: 59.04% / [[174, 46, 10], [70, 75, 30], [21, 36, 58]] ------------------------------ Epoch 277 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.750009 - Iter 024 / 025, Loss: 0.684563 * Train accuracy / confusion: 67.00% / [[286, 59, 13], [86, 141, 39], [22, 45, 109]], * Val accuracy / confusion: 57.12% / [[148, 60, 22], [51, 81, 43], [13, 34, 68]] ------------------------------ Epoch 278 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.479828 - Iter 024 / 025, Loss: 0.779310 * Train accuracy / confusion: 66.62% / [[283, 55, 16], [88, 150, 32], [22, 54, 100]], * Val accuracy / confusion: 58.46% / [[161, 51, 18], [59, 94, 22], [22, 44, 49]] ------------------------------ Epoch 279 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.674488 - Iter 024 / 025, Loss: 0.747859 * Train accuracy / confusion: 66.62% / [[279, 63, 15], [74, 160, 30], [32, 53, 94]], * Val accuracy / confusion: 57.50% / [[158, 61, 11], [56, 99, 20], [19, 54, 42]] ------------------------------ Epoch 280 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751788 - Iter 024 / 025, Loss: 0.628279 * Train accuracy / confusion: 65.50% / [[285, 53, 20], [94, 134, 36], [22, 51, 105]], * Val accuracy / confusion: 55.00% / [[135, 72, 23], [43, 105, 27], [15, 54, 46]] ------------------------------ Epoch 281 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.810956 - Iter 024 / 025, Loss: 0.863901 * Train accuracy / confusion: 68.50% / [[282, 67, 9], [79, 158, 30], [25, 42, 108]], * Val accuracy / confusion: 55.96% / [[151, 62, 17], [53, 71, 51], [13, 33, 69]] ------------------------------ Epoch 282 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.661459 - Iter 024 / 025, Loss: 0.931552 * Train accuracy / confusion: 68.62% / [[290, 54, 13], [68, 169, 32], [18, 66, 90]], * Val accuracy / confusion: 58.27% / [[182, 34, 14], [78, 71, 26], [24, 41, 50]] ------------------------------ Epoch 283 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.722910 - Iter 024 / 025, Loss: 0.736529 * Train accuracy / confusion: 66.38% / [[293, 51, 13], [86, 136, 44], [25, 50, 102]], * Val accuracy / confusion: 55.58% / [[179, 41, 10], [84, 73, 18], [22, 56, 37]] ------------------------------ Epoch 284 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838977 - Iter 024 / 025, Loss: 0.736086 * Train accuracy / confusion: 67.50% / [[274, 68, 15], [83, 160, 26], [20, 48, 106]], * Val accuracy / confusion: 55.77% / [[144, 52, 34], [60, 80, 35], [17, 32, 66]] ------------------------------ Epoch 285 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.899156 - Iter 024 / 025, Loss: 0.686969 * Train accuracy / confusion: 66.50% / [[283, 60, 15], [84, 147, 36], [21, 52, 102]], * Val accuracy / confusion: 58.85% / [[152, 66, 12], [46, 111, 18], [16, 56, 43]] ------------------------------ Epoch 286 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.980469 - Iter 024 / 025, Loss: 0.661507 * Train accuracy / confusion: 66.88% / [[286, 56, 12], [88, 152, 28], [27, 54, 97]], * Val accuracy / confusion: 55.38% / [[143, 57, 30], [58, 81, 36], [15, 36, 64]] ------------------------------ Epoch 287 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693638 - Iter 024 / 025, Loss: 0.752097 * Train accuracy / confusion: 64.00% / [[276, 66, 17], [75, 148, 44], [25, 61, 88]], * Val accuracy / confusion: 55.00% / [[160, 49, 21], [66, 62, 47], [19, 32, 64]] ------------------------------ Epoch 288 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.612485 - Iter 024 / 025, Loss: 0.836399 * Train accuracy / confusion: 65.38% / [[280, 62, 16], [93, 144, 31], [18, 57, 99]], * Val accuracy / confusion: 54.42% / [[166, 45, 19], [67, 65, 43], [21, 42, 52]] ------------------------------ Epoch 289 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.744732 - Iter 024 / 025, Loss: 0.747629 * Train accuracy / confusion: 65.50% / [[286, 56, 16], [91, 141, 34], [26, 53, 97]], * Val accuracy / confusion: 58.27% / [[162, 60, 8], [56, 110, 9], [19, 65, 31]] ------------------------------ Epoch 290 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779429 - Iter 024 / 025, Loss: 1.012294 * Train accuracy / confusion: 67.62% / [[296, 51, 11], [91, 140, 35], [27, 44, 105]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [48, 88, 39], [13, 41, 61]] ------------------------------ Epoch 291 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.769230 - Iter 024 / 025, Loss: 0.547305 * Train accuracy / confusion: 64.50% / [[270, 73, 13], [82, 157, 32], [18, 66, 89]], * Val accuracy / confusion: 57.12% / [[180, 42, 8], [82, 67, 26], [29, 36, 50]] ------------------------------ Epoch 292 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.936892 - Iter 024 / 025, Loss: 0.886447 * Train accuracy / confusion: 65.00% / [[293, 46, 13], [105, 124, 42], [23, 51, 103]], * Val accuracy / confusion: 58.85% / [[150, 68, 12], [44, 93, 38], [15, 37, 63]] ------------------------------ Epoch 293 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.750236 - Iter 024 / 025, Loss: 0.778360 * Train accuracy / confusion: 66.50% / [[268, 72, 15], [69, 157, 41], [22, 49, 107]], * Val accuracy / confusion: 55.58% / [[160, 48, 22], [74, 73, 28], [24, 35, 56]] ------------------------------ Epoch 294 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688282 - Iter 024 / 025, Loss: 0.581465 * Train accuracy / confusion: 69.38% / [[290, 49, 13], [83, 149, 36], [23, 41, 116]], * Val accuracy / confusion: 57.12% / [[168, 52, 10], [68, 86, 21], [20, 52, 43]] ------------------------------ Epoch 295 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.749935 - Iter 024 / 025, Loss: 0.949538 * Train accuracy / confusion: 64.88% / [[281, 58, 17], [96, 143, 30], [26, 54, 95]], * Val accuracy / confusion: 59.81% / [[173, 48, 9], [64, 87, 24], [23, 41, 51]] ------------------------------ Epoch 296 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.662924 - Iter 024 / 025, Loss: 0.694425 * Train accuracy / confusion: 68.62% / [[287, 53, 15], [84, 153, 29], [24, 46, 109]], * Val accuracy / confusion: 54.62% / [[134, 70, 26], [36, 90, 49], [11, 44, 60]] ------------------------------ Epoch 297 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823683 - Iter 024 / 025, Loss: 0.784844 * Train accuracy / confusion: 65.38% / [[271, 67, 16], [78, 156, 36], [27, 53, 96]], * Val accuracy / confusion: 57.50% / [[146, 62, 22], [51, 90, 34], [12, 40, 63]] ------------------------------ Epoch 298 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834304 - Iter 024 / 025, Loss: 0.680478 * Train accuracy / confusion: 67.75% / [[287, 56, 12], [84, 147, 37], [25, 44, 108]], * Val accuracy / confusion: 56.92% / [[192, 37, 1], [92, 78, 5], [35, 54, 26]] ------------------------------ Epoch 299 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.631836 - Iter 024 / 025, Loss: 0.906425 * Train accuracy / confusion: 65.75% / [[279, 58, 18], [85, 142, 37], [21, 55, 105]], * Val accuracy / confusion: 57.88% / [[141, 78, 11], [45, 109, 21], [13, 51, 51]] ------------------------------ Epoch 300 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806189 - Iter 024 / 025, Loss: 0.825501 * Train accuracy / confusion: 64.12% / [[271, 65, 16], [91, 143, 35], [24, 56, 99]], * Val accuracy / confusion: 53.27% / [[140, 45, 45], [41, 64, 70], [10, 32, 73]] ------------------------------ Epoch 301 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.640495 - Iter 024 / 025, Loss: 0.982903 * Train accuracy / confusion: 64.88% / [[289, 51, 16], [99, 131, 36], [23, 56, 99]], * Val accuracy / confusion: 56.73% / [[175, 34, 21], [74, 59, 42], [26, 28, 61]] ------------------------------ Epoch 302 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613377 - Iter 024 / 025, Loss: 0.866579 * Train accuracy / confusion: 65.38% / [[283, 59, 11], [90, 149, 33], [29, 55, 91]], * Val accuracy / confusion: 58.08% / [[166, 56, 8], [65, 93, 17], [18, 54, 43]] ------------------------------ Epoch 303 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.781949 - Iter 024 / 025, Loss: 0.680029 * Train accuracy / confusion: 66.00% / [[286, 61, 12], [84, 149, 33], [27, 55, 93]], * Val accuracy / confusion: 59.04% / [[170, 51, 9], [80, 77, 18], [24, 31, 60]] ------------------------------ Epoch 304 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.696007 - Iter 024 / 025, Loss: 0.674985 * Train accuracy / confusion: 64.25% / [[278, 69, 11], [96, 134, 39], [20, 51, 102]], * Val accuracy / confusion: 56.92% / [[145, 74, 11], [56, 94, 25], [18, 40, 57]] ------------------------------ Epoch 305 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671828 - Iter 024 / 025, Loss: 0.997914 * Train accuracy / confusion: 67.50% / [[287, 52, 17], [84, 148, 36], [22, 49, 105]], * Val accuracy / confusion: 55.96% / [[175, 50, 5], [81, 77, 17], [29, 47, 39]] ------------------------------ Epoch 306 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868088 - Iter 024 / 025, Loss: 0.701982 * Train accuracy / confusion: 65.38% / [[286, 55, 16], [97, 141, 27], [22, 60, 96]], * Val accuracy / confusion: 57.88% / [[143, 72, 15], [46, 92, 37], [11, 38, 66]] ------------------------------ Epoch 307 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699513 - Iter 024 / 025, Loss: 0.643577 * Train accuracy / confusion: 67.25% / [[275, 66, 17], [75, 156, 38], [13, 53, 107]], * Val accuracy / confusion: 55.77% / [[172, 45, 13], [77, 72, 26], [26, 43, 46]] ------------------------------ Epoch 308 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.895382 - Iter 024 / 025, Loss: 0.751041 * Train accuracy / confusion: 66.62% / [[277, 72, 10], [78, 151, 33], [21, 53, 105]], * Val accuracy / confusion: 54.81% / [[145, 63, 22], [60, 84, 31], [11, 48, 56]] ------------------------------ Epoch 309 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688303 - Iter 024 / 025, Loss: 0.740830 * Train accuracy / confusion: 69.12% / [[301, 52, 8], [83, 144, 37], [19, 48, 108]], * Val accuracy / confusion: 54.42% / [[171, 46, 13], [77, 58, 40], [32, 29, 54]] ------------------------------ Epoch 310 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.831057 - Iter 024 / 025, Loss: 0.696210 * Train accuracy / confusion: 65.38% / [[279, 53, 18], [88, 142, 41], [25, 52, 102]], * Val accuracy / confusion: 55.77% / [[139, 76, 15], [58, 93, 24], [15, 42, 58]] ------------------------------ Epoch 311 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.735450 - Iter 024 / 025, Loss: 0.520708 * Train accuracy / confusion: 68.00% / [[279, 60, 14], [73, 155, 42], [13, 54, 110]], * Val accuracy / confusion: 53.85% / [[137, 73, 20], [51, 86, 38], [14, 44, 57]] ------------------------------ Epoch 312 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814448 - Iter 024 / 025, Loss: 0.831278 * Train accuracy / confusion: 67.38% / [[294, 58, 8], [83, 156, 26], [21, 65, 89]], * Val accuracy / confusion: 58.08% / [[170, 56, 4], [70, 94, 11], [20, 57, 38]] ------------------------------ Epoch 313 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668547 - Iter 024 / 025, Loss: 0.808028 * Train accuracy / confusion: 66.88% / [[284, 54, 20], [84, 142, 38], [24, 45, 109]], * Val accuracy / confusion: 58.46% / [[170, 56, 4], [63, 89, 23], [27, 43, 45]] ------------------------------ Epoch 314 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.698945 - Iter 024 / 025, Loss: 0.469095 * Train accuracy / confusion: 67.38% / [[287, 58, 11], [83, 148, 37], [18, 54, 104]], * Val accuracy / confusion: 55.58% / [[160, 60, 10], [69, 80, 26], [25, 41, 49]] ------------------------------ Epoch 315 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693855 - Iter 024 / 025, Loss: 0.720571 * Train accuracy / confusion: 64.38% / [[271, 70, 15], [87, 151, 27], [22, 64, 93]], * Val accuracy / confusion: 55.96% / [[140, 76, 14], [38, 103, 34], [16, 51, 48]] ------------------------------ Epoch 316 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.707255 - Iter 024 / 025, Loss: 0.730678 * Train accuracy / confusion: 65.25% / [[274, 59, 22], [85, 150, 34], [20, 58, 98]], * Val accuracy / confusion: 48.85% / [[102, 65, 63], [28, 67, 80], [4, 26, 85]] ------------------------------ Epoch 317 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638125 - Iter 024 / 025, Loss: 0.682378 * Train accuracy / confusion: 63.50% / [[272, 68, 19], [87, 140, 38], [22, 58, 96]], * Val accuracy / confusion: 52.50% / [[186, 40, 4], [97, 54, 24], [35, 47, 33]] ------------------------------ Epoch 318 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668128 - Iter 024 / 025, Loss: 0.728860 * Train accuracy / confusion: 68.12% / [[295, 51, 12], [92, 144, 33], [25, 42, 106]], * Val accuracy / confusion: 60.00% / [[162, 55, 13], [56, 85, 34], [20, 30, 65]] ------------------------------ Epoch 319 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.790848 - Iter 024 / 025, Loss: 0.797918 * Train accuracy / confusion: 67.25% / [[275, 76, 11], [86, 156, 26], [24, 39, 107]], * Val accuracy / confusion: 53.08% / [[140, 74, 16], [58, 86, 31], [13, 52, 50]] ------------------------------ Epoch 320 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.929933 - Iter 024 / 025, Loss: 0.711325 * Train accuracy / confusion: 66.25% / [[284, 57, 14], [93, 137, 35], [22, 49, 109]], * Val accuracy / confusion: 54.04% / [[170, 47, 13], [81, 55, 39], [24, 35, 56]] ------------------------------ Epoch 321 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.740246 - Iter 024 / 025, Loss: 0.627984 * Train accuracy / confusion: 68.38% / [[292, 53, 13], [86, 154, 30], [20, 51, 101]], * Val accuracy / confusion: 52.50% / [[132, 87, 11], [54, 88, 33], [15, 47, 53]] ------------------------------ Epoch 322 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.743452 - Iter 024 / 025, Loss: 0.776342 * Train accuracy / confusion: 65.00% / [[281, 67, 11], [81, 156, 27], [21, 73, 83]], * Val accuracy / confusion: 61.15% / [[173, 27, 30], [64, 69, 42], [19, 20, 76]] ------------------------------ Epoch 323 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673145 - Iter 024 / 025, Loss: 0.886914 * Train accuracy / confusion: 67.00% / [[291, 55, 13], [87, 132, 47], [12, 50, 113]], * Val accuracy / confusion: 57.50% / [[171, 53, 6], [68, 90, 17], [25, 52, 38]] ------------------------------ Epoch 324 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725747 - Iter 024 / 025, Loss: 0.625081 * Train accuracy / confusion: 67.62% / [[279, 58, 13], [76, 160, 35], [17, 60, 102]], * Val accuracy / confusion: 56.54% / [[167, 46, 17], [70, 82, 23], [21, 49, 45]] ------------------------------ Epoch 325 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.849299 - Iter 024 / 025, Loss: 0.582517 * Train accuracy / confusion: 66.38% / [[273, 69, 10], [77, 150, 43], [16, 54, 108]], * Val accuracy / confusion: 60.19% / [[181, 46, 3], [71, 92, 12], [29, 46, 40]] ------------------------------ Epoch 326 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789141 - Iter 024 / 025, Loss: 0.570010 * Train accuracy / confusion: 66.75% / [[290, 59, 9], [90, 145, 29], [19, 60, 99]], * Val accuracy / confusion: 55.00% / [[151, 63, 16], [59, 67, 49], [17, 30, 68]] ------------------------------ Epoch 327 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737940 - Iter 024 / 025, Loss: 0.785835 * Train accuracy / confusion: 65.00% / [[274, 69, 12], [78, 154, 37], [16, 68, 92]], * Val accuracy / confusion: 55.00% / [[144, 70, 16], [56, 91, 28], [18, 46, 51]] ------------------------------ Epoch 328 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883392 - Iter 024 / 025, Loss: 0.755570 * Train accuracy / confusion: 65.88% / [[287, 57, 13], [86, 139, 40], [24, 53, 101]], * Val accuracy / confusion: 52.69% / [[151, 64, 15], [69, 86, 20], [18, 60, 37]] ------------------------------ Epoch 329 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.739427 - Iter 024 / 025, Loss: 1.092129 * Train accuracy / confusion: 67.25% / [[280, 73, 8], [75, 161, 31], [25, 50, 97]], * Val accuracy / confusion: 53.27% / [[154, 56, 20], [68, 69, 38], [24, 37, 54]] ------------------------------ Epoch 330 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.866750 - Iter 024 / 025, Loss: 0.593265 * Train accuracy / confusion: 67.12% / [[277, 58, 19], [79, 153, 41], [24, 42, 107]], * Val accuracy / confusion: 57.69% / [[156, 57, 17], [56, 89, 30], [18, 42, 55]] ------------------------------ Epoch 331 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623206 - Iter 024 / 025, Loss: 0.745806 * Train accuracy / confusion: 69.88% / [[284, 53, 16], [83, 170, 18], [18, 53, 105]], * Val accuracy / confusion: 56.73% / [[156, 44, 30], [59, 66, 50], [17, 25, 73]] ------------------------------ Epoch 332 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.780293 - Iter 024 / 025, Loss: 0.680748 * Train accuracy / confusion: 67.62% / [[280, 59, 17], [75, 157, 36], [22, 50, 104]], * Val accuracy / confusion: 56.92% / [[157, 59, 14], [59, 80, 36], [16, 40, 59]] ------------------------------ Epoch 333 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.036870 - Iter 024 / 025, Loss: 0.655843 * Train accuracy / confusion: 67.38% / [[288, 59, 12], [88, 146, 34], [15, 53, 105]], * Val accuracy / confusion: 56.73% / [[140, 81, 9], [46, 100, 29], [14, 46, 55]] ------------------------------ Epoch 334 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.805772 - Iter 024 / 025, Loss: 0.766267 * Train accuracy / confusion: 63.75% / [[292, 52, 13], [101, 128, 39], [25, 60, 90]], * Val accuracy / confusion: 58.65% / [[167, 60, 3], [65, 99, 11], [19, 57, 39]] ------------------------------ Epoch 335 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703541 - Iter 024 / 025, Loss: 0.544942 * Train accuracy / confusion: 68.50% / [[282, 68, 7], [64, 165, 36], [21, 56, 101]], * Val accuracy / confusion: 58.08% / [[169, 50, 11], [78, 77, 20], [19, 40, 56]] ------------------------------ Epoch 336 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.782727 - Iter 024 / 025, Loss: 0.593225 * Train accuracy / confusion: 71.38% / [[292, 44, 17], [80, 159, 31], [15, 42, 120]], * Val accuracy / confusion: 57.12% / [[132, 79, 19], [36, 101, 38], [12, 39, 64]] ------------------------------ Epoch 337 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751791 - Iter 024 / 025, Loss: 0.631575 * Train accuracy / confusion: 65.75% / [[272, 74, 13], [77, 156, 36], [22, 52, 98]], * Val accuracy / confusion: 55.38% / [[162, 65, 3], [68, 97, 10], [20, 66, 29]] ------------------------------ Epoch 338 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.685016 - Iter 024 / 025, Loss: 0.758397 * Train accuracy / confusion: 68.38% / [[304, 46, 9], [88, 145, 31], [25, 54, 98]], * Val accuracy / confusion: 55.19% / [[156, 39, 35], [70, 60, 45], [20, 24, 71]] ------------------------------ Epoch 339 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.089913 - Iter 024 / 025, Loss: 0.586979 * Train accuracy / confusion: 68.62% / [[280, 62, 20], [67, 177, 21], [20, 61, 92]], * Val accuracy / confusion: 57.50% / [[168, 56, 6], [68, 90, 17], [25, 49, 41]] ------------------------------ Epoch 340 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.727028 - Iter 024 / 025, Loss: 0.876801 * Train accuracy / confusion: 69.50% / [[296, 48, 13], [79, 153, 35], [26, 43, 107]], * Val accuracy / confusion: 55.96% / [[158, 55, 17], [58, 78, 39], [19, 41, 55]] ------------------------------ Epoch 341 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.821872 - Iter 024 / 025, Loss: 0.759622 * Train accuracy / confusion: 68.50% / [[286, 59, 12], [76, 155, 36], [23, 46, 107]], * Val accuracy / confusion: 53.85% / [[150, 59, 21], [61, 73, 41], [18, 40, 57]] ------------------------------ Epoch 342 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.899554 - Iter 024 / 025, Loss: 0.586324 * Train accuracy / confusion: 68.88% / [[292, 48, 15], [88, 149, 32], [17, 49, 110]], * Val accuracy / confusion: 56.54% / [[146, 77, 7], [49, 94, 32], [16, 45, 54]] ------------------------------ Epoch 343 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834492 - Iter 024 / 025, Loss: 0.674258 * Train accuracy / confusion: 66.62% / [[276, 64, 14], [81, 144, 41], [16, 51, 113]], * Val accuracy / confusion: 56.15% / [[164, 55, 11], [65, 79, 31], [20, 46, 49]] ------------------------------ Epoch 344 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654048 - Iter 024 / 025, Loss: 0.610448 * Train accuracy / confusion: 69.75% / [[288, 55, 11], [75, 166, 28], [19, 54, 104]], * Val accuracy / confusion: 56.73% / [[163, 54, 13], [57, 78, 40], [22, 39, 54]] ------------------------------ Epoch 345 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.545576 - Iter 024 / 025, Loss: 0.662636 * Train accuracy / confusion: 67.75% / [[289, 54, 10], [86, 154, 32], [24, 52, 99]], * Val accuracy / confusion: 54.81% / [[154, 57, 19], [57, 78, 40], [12, 50, 53]] ------------------------------ Epoch 346 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.641710 - Iter 024 / 025, Loss: 0.702689 * Train accuracy / confusion: 65.62% / [[282, 59, 13], [100, 132, 35], [19, 49, 111]], * Val accuracy / confusion: 56.54% / [[143, 61, 26], [56, 83, 36], [18, 29, 68]] ------------------------------ Epoch 347 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.872464 - Iter 024 / 025, Loss: 0.791647 * Train accuracy / confusion: 66.12% / [[285, 55, 19], [94, 133, 37], [24, 42, 111]], * Val accuracy / confusion: 57.50% / [[161, 56, 13], [69, 85, 21], [15, 47, 53]] ------------------------------ Epoch 348 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.954119 - Iter 024 / 025, Loss: 0.661768 * Train accuracy / confusion: 66.50% / [[284, 57, 11], [83, 151, 34], [26, 57, 97]], * Val accuracy / confusion: 58.08% / [[180, 32, 18], [83, 67, 25], [21, 39, 55]] ------------------------------ Epoch 349 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.983607 - Iter 024 / 025, Loss: 0.865817 * Train accuracy / confusion: 66.75% / [[294, 44, 16], [89, 140, 40], [25, 52, 100]], * Val accuracy / confusion: 58.46% / [[165, 56, 9], [70, 100, 5], [23, 53, 39]] ------------------------------ Epoch 350 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.705907 - Iter 024 / 025, Loss: 0.737624 * Train accuracy / confusion: 67.88% / [[297, 46, 11], [87, 151, 30], [19, 64, 95]], * Val accuracy / confusion: 57.69% / [[148, 57, 25], [46, 76, 53], [14, 25, 76]] ------------------------------ Epoch 351 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.680633 - Iter 024 / 025, Loss: 0.645583 * Train accuracy / confusion: 71.25% / [[293, 49, 13], [78, 156, 34], [20, 36, 121]], * Val accuracy / confusion: 54.04% / [[149, 62, 19], [59, 87, 29], [17, 53, 45]] ------------------------------ Epoch 352 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.637033 - Iter 024 / 025, Loss: 0.779756 * Train accuracy / confusion: 67.50% / [[282, 58, 16], [81, 161, 27], [18, 60, 97]], * Val accuracy / confusion: 55.58% / [[156, 58, 16], [67, 79, 29], [18, 43, 54]] ------------------------------ Epoch 353 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.478419 - Iter 024 / 025, Loss: 0.751532 * Train accuracy / confusion: 68.50% / [[291, 54, 9], [90, 148, 33], [23, 43, 109]], * Val accuracy / confusion: 56.92% / [[158, 58, 14], [71, 74, 30], [18, 33, 64]] ------------------------------ Epoch 354 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.009013 - Iter 024 / 025, Loss: 0.501888 * Train accuracy / confusion: 67.25% / [[282, 54, 16], [89, 145, 36], [19, 48, 111]], * Val accuracy / confusion: 55.58% / [[159, 61, 10], [68, 84, 23], [17, 52, 46]] ------------------------------ Epoch 355 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.705289 - Iter 024 / 025, Loss: 1.025775 * Train accuracy / confusion: 66.38% / [[282, 62, 9], [96, 143, 31], [21, 50, 106]], * Val accuracy / confusion: 58.27% / [[155, 57, 18], [53, 86, 36], [19, 34, 62]] ------------------------------ Epoch 356 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723899 - Iter 024 / 025, Loss: 0.796819 * Train accuracy / confusion: 66.38% / [[268, 75, 11], [73, 160, 35], [19, 56, 103]], * Val accuracy / confusion: 58.27% / [[161, 55, 14], [64, 99, 12], [18, 54, 43]] ------------------------------ Epoch 357 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.857275 - Iter 024 / 025, Loss: 0.951937 * Train accuracy / confusion: 68.62% / [[296, 55, 6], [78, 158, 33], [20, 59, 95]], * Val accuracy / confusion: 59.23% / [[163, 60, 7], [59, 102, 14], [21, 51, 43]] ------------------------------ Epoch 358 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668072 - Iter 024 / 025, Loss: 0.816959 * Train accuracy / confusion: 69.50% / [[297, 51, 12], [84, 148, 32], [21, 44, 111]], * Val accuracy / confusion: 56.35% / [[164, 50, 16], [71, 84, 20], [23, 47, 45]] ------------------------------ Epoch 359 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.889882 - Iter 024 / 025, Loss: 0.801001 * Train accuracy / confusion: 67.88% / [[289, 51, 19], [82, 149, 34], [30, 41, 105]], * Val accuracy / confusion: 55.58% / [[143, 64, 23], [57, 79, 39], [14, 34, 67]] ------------------------------ Epoch 360 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.696097 - Iter 024 / 025, Loss: 0.676841 * Train accuracy / confusion: 66.75% / [[286, 63, 13], [93, 148, 23], [23, 51, 100]], * Val accuracy / confusion: 57.88% / [[193, 29, 8], [102, 49, 24], [36, 20, 59]] ------------------------------ Epoch 361 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.529622 - Iter 024 / 025, Loss: 0.707471 * Train accuracy / confusion: 71.25% / [[315, 36, 13], [95, 136, 32], [22, 32, 119]], * Val accuracy / confusion: 56.54% / [[186, 41, 3], [91, 78, 6], [31, 54, 30]] ------------------------------ Epoch 362 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706920 - Iter 024 / 025, Loss: 0.793861 * Train accuracy / confusion: 66.38% / [[287, 61, 11], [90, 145, 34], [22, 51, 99]], * Val accuracy / confusion: 58.08% / [[148, 68, 14], [50, 95, 30], [15, 41, 59]] ------------------------------ Epoch 363 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838484 - Iter 024 / 025, Loss: 0.742128 * Train accuracy / confusion: 67.38% / [[290, 55, 11], [91, 150, 26], [24, 54, 99]], * Val accuracy / confusion: 52.88% / [[146, 45, 39], [70, 48, 57], [13, 21, 81]] ------------------------------ Epoch 364 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676046 - Iter 024 / 025, Loss: 0.890274 * Train accuracy / confusion: 68.25% / [[288, 55, 13], [76, 149, 43], [20, 47, 109]], * Val accuracy / confusion: 56.35% / [[153, 57, 20], [63, 81, 31], [16, 40, 59]] ------------------------------ Epoch 365 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716641 - Iter 024 / 025, Loss: 0.755846 * Train accuracy / confusion: 70.00% / [[294, 52, 15], [73, 163, 23], [19, 58, 103]], * Val accuracy / confusion: 55.38% / [[150, 55, 25], [56, 85, 34], [14, 48, 53]] ------------------------------ Epoch 366 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623724 - Iter 024 / 025, Loss: 0.617356 * Train accuracy / confusion: 67.25% / [[291, 55, 11], [98, 135, 36], [16, 46, 112]], * Val accuracy / confusion: 55.19% / [[149, 66, 15], [61, 90, 24], [17, 50, 48]] ------------------------------ Epoch 367 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.731586 - Iter 024 / 025, Loss: 0.499270 * Train accuracy / confusion: 68.88% / [[290, 53, 10], [88, 150, 35], [21, 42, 111]], * Val accuracy / confusion: 57.69% / [[159, 55, 16], [60, 80, 35], [17, 37, 61]] ------------------------------ Epoch 368 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638963 - Iter 024 / 025, Loss: 0.670779 * Train accuracy / confusion: 68.00% / [[283, 63, 11], [85, 150, 31], [20, 46, 111]], * Val accuracy / confusion: 55.19% / [[153, 58, 19], [71, 83, 21], [17, 47, 51]] ------------------------------ Epoch 369 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.589555 - Iter 024 / 025, Loss: 0.562103 * Train accuracy / confusion: 65.88% / [[287, 47, 17], [88, 144, 41], [22, 58, 96]], * Val accuracy / confusion: 54.62% / [[134, 61, 35], [46, 82, 47], [13, 34, 68]] ------------------------------ Epoch 370 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.568025 - Iter 024 / 025, Loss: 0.724347 * Train accuracy / confusion: 68.38% / [[284, 56, 12], [88, 149, 32], [22, 43, 114]], * Val accuracy / confusion: 55.00% / [[173, 45, 12], [94, 67, 14], [30, 39, 46]] ------------------------------ Epoch 371 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.691815 - Iter 024 / 025, Loss: 0.769288 * Train accuracy / confusion: 67.25% / [[276, 62, 17], [86, 154, 29], [19, 49, 108]], * Val accuracy / confusion: 56.15% / [[151, 67, 12], [51, 98, 26], [20, 52, 43]] ------------------------------ Epoch 372 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719856 - Iter 024 / 025, Loss: 0.842481 * Train accuracy / confusion: 66.25% / [[266, 66, 14], [80, 153, 39], [23, 48, 111]], * Val accuracy / confusion: 54.42% / [[145, 64, 21], [59, 73, 43], [12, 38, 65]] ------------------------------ Epoch 373 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.697993 - Iter 024 / 025, Loss: 0.849713 * Train accuracy / confusion: 66.12% / [[271, 66, 17], [78, 157, 32], [21, 57, 101]], * Val accuracy / confusion: 56.15% / [[140, 76, 14], [48, 95, 32], [13, 45, 57]] ------------------------------ Epoch 374 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806390 - Iter 024 / 025, Loss: 0.801498 * Train accuracy / confusion: 66.62% / [[282, 55, 13], [86, 156, 31], [25, 57, 95]], * Val accuracy / confusion: 55.00% / [[166, 61, 3], [70, 101, 4], [20, 76, 19]] ------------------------------ Epoch 375 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.921174 - Iter 024 / 025, Loss: 0.614121 * Train accuracy / confusion: 68.62% / [[278, 65, 10], [83, 162, 24], [23, 46, 109]], * Val accuracy / confusion: 57.69% / [[151, 60, 19], [47, 86, 42], [20, 32, 63]] ------------------------------ Epoch 376 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.666527 - Iter 024 / 025, Loss: 0.745082 * Train accuracy / confusion: 68.25% / [[299, 46, 16], [86, 141, 38], [28, 40, 106]], * Val accuracy / confusion: 59.62% / [[158, 63, 9], [52, 104, 19], [18, 49, 48]] ------------------------------ Epoch 377 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.677186 - Iter 024 / 025, Loss: 0.554202 * Train accuracy / confusion: 69.62% / [[282, 58, 17], [65, 161, 40], [18, 45, 114]], * Val accuracy / confusion: 55.00% / [[144, 65, 21], [50, 83, 42], [18, 38, 59]] ------------------------------ Epoch 378 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814768 - Iter 024 / 025, Loss: 0.595613 * Train accuracy / confusion: 68.50% / [[284, 57, 14], [77, 162, 32], [24, 48, 102]], * Val accuracy / confusion: 57.31% / [[179, 37, 14], [83, 59, 33], [22, 33, 60]] ------------------------------ Epoch 379 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.988116 - Iter 024 / 025, Loss: 0.726931 * Train accuracy / confusion: 66.25% / [[279, 60, 15], [79, 152, 36], [26, 54, 99]], * Val accuracy / confusion: 56.54% / [[146, 73, 11], [48, 111, 16], [15, 63, 37]] ------------------------------ Epoch 380 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.856591 - Iter 024 / 025, Loss: 0.827899 * Train accuracy / confusion: 68.50% / [[276, 60, 19], [71, 165, 31], [25, 46, 107]], * Val accuracy / confusion: 54.23% / [[157, 54, 19], [74, 71, 30], [20, 41, 54]] ------------------------------ Epoch 381 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.938070 - Iter 024 / 025, Loss: 0.607238 * Train accuracy / confusion: 67.88% / [[285, 53, 18], [83, 149, 35], [23, 45, 109]], * Val accuracy / confusion: 57.12% / [[149, 67, 14], [55, 96, 24], [20, 43, 52]] ------------------------------ Epoch 382 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.852358 - Iter 024 / 025, Loss: 0.589064 * Train accuracy / confusion: 67.75% / [[294, 53, 11], [93, 142, 31], [21, 49, 106]], * Val accuracy / confusion: 58.85% / [[163, 58, 9], [67, 87, 21], [20, 39, 56]] ------------------------------ Epoch 383 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.552599 - Iter 024 / 025, Loss: 0.773284 * Train accuracy / confusion: 70.75% / [[282, 57, 11], [63, 163, 44], [19, 40, 121]], * Val accuracy / confusion: 57.69% / [[151, 67, 12], [53, 100, 22], [14, 52, 49]] ------------------------------ Epoch 384 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.644423 - Iter 024 / 025, Loss: 0.858218 * Train accuracy / confusion: 67.25% / [[277, 66, 12], [84, 151, 33], [15, 52, 110]], * Val accuracy / confusion: 54.81% / [[145, 66, 19], [48, 86, 41], [16, 45, 54]] ------------------------------ Epoch 385 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.634528 - Iter 024 / 025, Loss: 0.793881 * Train accuracy / confusion: 67.75% / [[297, 53, 9], [87, 143, 37], [21, 51, 102]], * Val accuracy / confusion: 53.08% / [[132, 68, 30], [52, 92, 31], [13, 50, 52]] ------------------------------ Epoch 386 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.747169 - Iter 024 / 025, Loss: 0.872802 * Train accuracy / confusion: 68.25% / [[271, 66, 20], [78, 152, 36], [16, 38, 123]], * Val accuracy / confusion: 57.31% / [[178, 46, 6], [75, 80, 20], [25, 50, 40]] ------------------------------ Epoch 387 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834505 - Iter 024 / 025, Loss: 0.679863 * Train accuracy / confusion: 68.38% / [[273, 65, 17], [81, 167, 24], [19, 47, 107]], * Val accuracy / confusion: 57.31% / [[156, 62, 12], [59, 95, 21], [12, 56, 47]] ------------------------------ Epoch 388 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.500538 - Iter 024 / 025, Loss: 0.893024 * Train accuracy / confusion: 69.00% / [[286, 57, 13], [78, 148, 37], [11, 52, 118]], * Val accuracy / confusion: 55.58% / [[155, 58, 17], [68, 78, 29], [16, 43, 56]] ------------------------------ Epoch 389 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719248 - Iter 024 / 025, Loss: 0.627150 * Train accuracy / confusion: 66.62% / [[277, 60, 15], [80, 149, 38], [23, 51, 107]], * Val accuracy / confusion: 57.50% / [[164, 59, 7], [69, 94, 12], [24, 50, 41]] ------------------------------ Epoch 390 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.785338 - Iter 024 / 025, Loss: 0.643087 * Train accuracy / confusion: 67.00% / [[287, 55, 17], [91, 140, 34], [19, 48, 109]], * Val accuracy / confusion: 54.62% / [[130, 81, 19], [50, 90, 35], [12, 39, 64]] ------------------------------ Epoch 391 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.877348 - Iter 024 / 025, Loss: 0.669763 * Train accuracy / confusion: 66.88% / [[294, 56, 9], [90, 135, 37], [31, 42, 106]], * Val accuracy / confusion: 59.04% / [[167, 53, 10], [67, 89, 19], [18, 46, 51]] ------------------------------ Epoch 392 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706502 - Iter 024 / 025, Loss: 0.549238 * Train accuracy / confusion: 68.12% / [[271, 66, 14], [79, 164, 27], [22, 47, 110]], * Val accuracy / confusion: 57.12% / [[162, 40, 28], [69, 58, 48], [16, 22, 77]] ------------------------------ Epoch 393 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.549149 - Iter 024 / 025, Loss: 0.702730 * Train accuracy / confusion: 69.88% / [[287, 53, 17], [76, 160, 33], [17, 45, 112]], * Val accuracy / confusion: 54.04% / [[154, 70, 6], [69, 86, 20], [23, 51, 41]] ------------------------------ Epoch 394 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789259 - Iter 024 / 025, Loss: 0.729992 * Train accuracy / confusion: 67.50% / [[276, 62, 17], [81, 155, 31], [21, 48, 109]], * Val accuracy / confusion: 58.08% / [[166, 54, 10], [74, 86, 15], [21, 44, 50]] ------------------------------ Epoch 395 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557711 - Iter 024 / 025, Loss: 0.801625 * Train accuracy / confusion: 69.50% / [[289, 55, 12], [83, 154, 28], [20, 46, 113]], * Val accuracy / confusion: 55.77% / [[155, 64, 11], [56, 88, 31], [17, 51, 47]] ------------------------------ Epoch 396 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.874263 - Iter 024 / 025, Loss: 0.587847 * Train accuracy / confusion: 66.25% / [[268, 75, 14], [73, 166, 28], [18, 62, 96]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [69, 79, 27], [20, 35, 60]] ------------------------------ Epoch 397 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725674 - Iter 024 / 025, Loss: 0.626348 * Train accuracy / confusion: 67.50% / [[299, 44, 18], [97, 125, 40], [20, 41, 116]], * Val accuracy / confusion: 57.69% / [[171, 52, 7], [71, 92, 12], [25, 53, 37]] ------------------------------ Epoch 398 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861623 - Iter 024 / 025, Loss: 0.625775 * Train accuracy / confusion: 69.62% / [[279, 63, 13], [72, 163, 31], [23, 41, 115]], * Val accuracy / confusion: 53.27% / [[164, 46, 20], [77, 58, 40], [25, 35, 55]] ------------------------------ Epoch 399 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623201 - Iter 024 / 025, Loss: 0.548609 * Train accuracy / confusion: 67.12% / [[279, 56, 19], [84, 143, 41], [18, 45, 115]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [75, 75, 25], [26, 36, 53]] ------------------------------ Epoch 400 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.752131 - Iter 024 / 025, Loss: 0.577016 * Train accuracy / confusion: 66.75% / [[277, 61, 18], [78, 159, 33], [23, 53, 98]], * Val accuracy / confusion: 56.15% / [[179, 43, 8], [83, 68, 24], [25, 45, 45]] ------------------------------ Epoch 401 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.513106 - Iter 024 / 025, Loss: 0.633912 * Train accuracy / confusion: 66.88% / [[289, 55, 13], [90, 141, 35], [23, 49, 105]], * Val accuracy / confusion: 54.62% / [[164, 53, 13], [79, 69, 27], [21, 43, 51]] ------------------------------ Epoch 402 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.006767 - Iter 024 / 025, Loss: 0.752957 * Train accuracy / confusion: 67.50% / [[290, 58, 10], [83, 145, 39], [16, 54, 105]], * Val accuracy / confusion: 58.46% / [[163, 47, 20], [63, 77, 35], [18, 33, 64]] ------------------------------ Epoch 403 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791926 - Iter 024 / 025, Loss: 0.567745 * Train accuracy / confusion: 68.12% / [[288, 51, 19], [86, 142, 36], [20, 43, 115]], * Val accuracy / confusion: 55.77% / [[169, 50, 11], [77, 75, 23], [22, 47, 46]] ------------------------------ Epoch 404 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671012 - Iter 024 / 025, Loss: 0.863925 * Train accuracy / confusion: 68.75% / [[276, 78, 8], [61, 160, 41], [15, 47, 114]], * Val accuracy / confusion: 59.04% / [[145, 72, 13], [49, 108, 18], [16, 45, 54]] ------------------------------ Epoch 405 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.795150 - Iter 024 / 025, Loss: 0.827988 * Train accuracy / confusion: 68.50% / [[291, 43, 21], [87, 145, 37], [20, 44, 112]], * Val accuracy / confusion: 54.81% / [[127, 93, 10], [43, 112, 20], [12, 57, 46]] ------------------------------ Epoch 406 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.691630 - Iter 024 / 025, Loss: 1.133582 * Train accuracy / confusion: 68.62% / [[284, 60, 10], [79, 158, 33], [16, 53, 107]], * Val accuracy / confusion: 57.69% / [[141, 71, 18], [47, 102, 26], [13, 45, 57]] ------------------------------ Epoch 407 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709042 - Iter 024 / 025, Loss: 0.616651 * Train accuracy / confusion: 68.25% / [[285, 63, 10], [83, 153, 31], [21, 46, 108]], * Val accuracy / confusion: 56.15% / [[139, 76, 15], [45, 98, 32], [17, 43, 55]] ------------------------------ Epoch 408 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672566 - Iter 024 / 025, Loss: 0.626692 * Train accuracy / confusion: 67.62% / [[290, 50, 15], [97, 136, 38], [20, 39, 115]], * Val accuracy / confusion: 57.31% / [[182, 38, 10], [78, 65, 32], [20, 44, 51]] ------------------------------ Epoch 409 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.607363 - Iter 024 / 025, Loss: 0.835313 * Train accuracy / confusion: 67.75% / [[273, 65, 19], [74, 155, 37], [15, 48, 114]], * Val accuracy / confusion: 52.31% / [[126, 73, 31], [51, 91, 33], [14, 46, 55]] ------------------------------ Epoch 410 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603848 - Iter 024 / 025, Loss: 0.754438 * Train accuracy / confusion: 66.88% / [[283, 61, 11], [82, 165, 22], [21, 68, 87]], * Val accuracy / confusion: 53.65% / [[143, 62, 25], [47, 84, 44], [14, 49, 52]] ------------------------------ Epoch 411 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.509751 - Iter 024 / 025, Loss: 0.770245 * Train accuracy / confusion: 69.88% / [[289, 55, 15], [76, 150, 39], [17, 39, 120]], * Val accuracy / confusion: 54.04% / [[163, 52, 15], [82, 68, 25], [21, 44, 50]] ------------------------------ Epoch 412 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.677071 - Iter 024 / 025, Loss: 0.763348 * Train accuracy / confusion: 68.88% / [[293, 56, 13], [90, 145, 25], [20, 45, 113]], * Val accuracy / confusion: 58.27% / [[165, 52, 13], [68, 81, 26], [22, 36, 57]] ------------------------------ Epoch 413 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671628 - Iter 024 / 025, Loss: 0.830977 * Train accuracy / confusion: 67.62% / [[281, 55, 21], [85, 153, 34], [23, 41, 107]], * Val accuracy / confusion: 59.23% / [[160, 58, 12], [61, 96, 18], [20, 43, 52]] ------------------------------ Epoch 414 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.570813 - Iter 024 / 025, Loss: 0.717326 * Train accuracy / confusion: 69.25% / [[273, 71, 10], [69, 168, 31], [18, 47, 113]], * Val accuracy / confusion: 58.46% / [[174, 37, 19], [74, 58, 43], [21, 22, 72]] ------------------------------ Epoch 415 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838085 - Iter 024 / 025, Loss: 0.887547 * Train accuracy / confusion: 68.38% / [[277, 63, 13], [77, 151, 39], [24, 37, 119]], * Val accuracy / confusion: 55.96% / [[142, 70, 18], [52, 90, 33], [13, 43, 59]] ------------------------------ Epoch 416 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812785 - Iter 024 / 025, Loss: 0.752900 * Train accuracy / confusion: 70.00% / [[304, 36, 15], [78, 143, 47], [22, 42, 113]], * Val accuracy / confusion: 52.69% / [[135, 87, 8], [56, 98, 21], [10, 64, 41]] ------------------------------ Epoch 417 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839302 - Iter 024 / 025, Loss: 0.819819 * Train accuracy / confusion: 65.75% / [[277, 62, 16], [88, 151, 30], [28, 50, 98]], * Val accuracy / confusion: 57.50% / [[163, 53, 14], [64, 86, 25], [17, 48, 50]] ------------------------------ Epoch 418 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.054405 - Iter 024 / 025, Loss: 0.644076 * Train accuracy / confusion: 70.12% / [[276, 69, 13], [68, 180, 19], [18, 52, 105]], * Val accuracy / confusion: 57.88% / [[151, 59, 20], [53, 81, 41], [15, 31, 69]] ------------------------------ Epoch 419 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.593845 - Iter 024 / 025, Loss: 1.044934 * Train accuracy / confusion: 71.62% / [[300, 45, 13], [78, 153, 37], [20, 34, 120]], * Val accuracy / confusion: 56.15% / [[170, 52, 8], [74, 80, 21], [20, 53, 42]] ------------------------------ Epoch 420 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.590135 - Iter 024 / 025, Loss: 0.609736 * Train accuracy / confusion: 70.50% / [[289, 55, 15], [69, 170, 30], [14, 53, 105]], * Val accuracy / confusion: 57.12% / [[157, 60, 13], [69, 89, 17], [18, 46, 51]] ------------------------------ Epoch 421 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664508 - Iter 024 / 025, Loss: 0.744490 * Train accuracy / confusion: 68.75% / [[281, 59, 19], [73, 158, 35], [21, 43, 111]], * Val accuracy / confusion: 55.77% / [[153, 61, 16], [63, 76, 36], [22, 32, 61]] ------------------------------ Epoch 422 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811210 - Iter 024 / 025, Loss: 0.692219 * Train accuracy / confusion: 69.00% / [[276, 64, 14], [75, 171, 20], [24, 51, 105]], * Val accuracy / confusion: 58.65% / [[159, 52, 19], [62, 91, 22], [16, 44, 55]] ------------------------------ Epoch 423 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.695059 - Iter 024 / 025, Loss: 0.606639 * Train accuracy / confusion: 70.12% / [[300, 45, 12], [87, 144, 40], [16, 39, 117]], * Val accuracy / confusion: 58.85% / [[164, 56, 10], [61, 103, 11], [20, 56, 39]] ------------------------------ Epoch 424 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.842200 - Iter 024 / 025, Loss: 0.582980 * Train accuracy / confusion: 69.50% / [[290, 56, 13], [76, 158, 33], [21, 45, 108]], * Val accuracy / confusion: 53.08% / [[170, 56, 4], [83, 80, 12], [32, 57, 26]] ------------------------------ Epoch 425 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624870 - Iter 024 / 025, Loss: 0.736702 * Train accuracy / confusion: 68.75% / [[287, 55, 15], [76, 155, 37], [18, 49, 108]], * Val accuracy / confusion: 56.92% / [[155, 58, 17], [60, 92, 23], [18, 48, 49]] ------------------------------ Epoch 426 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.587125 - Iter 024 / 025, Loss: 0.600326 * Train accuracy / confusion: 69.88% / [[290, 55, 8], [81, 161, 27], [24, 46, 108]], * Val accuracy / confusion: 54.23% / [[149, 67, 14], [63, 79, 33], [17, 44, 54]] ------------------------------ Epoch 427 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.851828 - Iter 024 / 025, Loss: 0.732343 * Train accuracy / confusion: 69.25% / [[294, 51, 12], [82, 147, 38], [20, 43, 113]], * Val accuracy / confusion: 55.19% / [[147, 59, 24], [52, 89, 34], [9, 55, 51]] ------------------------------ Epoch 428 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654153 - Iter 024 / 025, Loss: 0.882076 * Train accuracy / confusion: 69.12% / [[282, 63, 17], [77, 167, 23], [18, 49, 104]], * Val accuracy / confusion: 55.96% / [[170, 52, 8], [77, 78, 20], [25, 47, 43]] ------------------------------ Epoch 429 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806730 - Iter 024 / 025, Loss: 0.689116 * Train accuracy / confusion: 67.25% / [[279, 60, 18], [84, 144, 40], [12, 48, 115]], * Val accuracy / confusion: 54.62% / [[142, 66, 22], [51, 77, 47], [13, 37, 65]] ------------------------------ Epoch 430 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.551104 - Iter 024 / 025, Loss: 0.731463 * Train accuracy / confusion: 71.00% / [[295, 53, 10], [79, 165, 20], [20, 50, 108]], * Val accuracy / confusion: 54.81% / [[154, 47, 29], [54, 68, 53], [24, 28, 63]] ------------------------------ Epoch 431 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624294 - Iter 024 / 025, Loss: 0.727898 * Train accuracy / confusion: 68.75% / [[287, 53, 17], [77, 159, 31], [19, 53, 104]], * Val accuracy / confusion: 58.85% / [[174, 47, 9], [66, 81, 28], [22, 42, 51]] ------------------------------ Epoch 432 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725845 - Iter 024 / 025, Loss: 0.605775 * Train accuracy / confusion: 70.00% / [[273, 56, 21], [66, 168, 37], [22, 38, 119]], * Val accuracy / confusion: 55.58% / [[144, 73, 13], [51, 104, 20], [9, 65, 41]] ------------------------------ Epoch 433 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.482299 - Iter 024 / 025, Loss: 0.867872 * Train accuracy / confusion: 67.62% / [[289, 49, 14], [85, 147, 37], [22, 52, 105]], * Val accuracy / confusion: 56.15% / [[171, 48, 11], [72, 78, 25], [27, 45, 43]] ------------------------------ Epoch 434 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.504015 - Iter 024 / 025, Loss: 0.769239 * Train accuracy / confusion: 67.38% / [[284, 52, 24], [70, 155, 36], [23, 56, 100]], * Val accuracy / confusion: 55.77% / [[172, 35, 23], [80, 57, 38], [22, 32, 61]] ------------------------------ Epoch 435 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.678806 - Iter 024 / 025, Loss: 0.835116 * Train accuracy / confusion: 71.38% / [[299, 41, 17], [85, 149, 29], [16, 41, 123]], * Val accuracy / confusion: 59.04% / [[138, 66, 26], [39, 95, 41], [8, 33, 74]] ------------------------------ Epoch 436 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623030 - Iter 024 / 025, Loss: 0.743279 * Train accuracy / confusion: 71.25% / [[293, 49, 9], [70, 163, 37], [19, 46, 114]], * Val accuracy / confusion: 57.69% / [[176, 38, 16], [74, 77, 24], [22, 46, 47]] ------------------------------ Epoch 437 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.628469 - Iter 024 / 025, Loss: 0.825945 * Train accuracy / confusion: 67.62% / [[281, 69, 7], [84, 146, 36], [14, 49, 114]], * Val accuracy / confusion: 55.38% / [[167, 48, 15], [77, 65, 33], [23, 36, 56]] ------------------------------ Epoch 438 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839022 - Iter 024 / 025, Loss: 0.513607 * Train accuracy / confusion: 71.12% / [[296, 49, 13], [72, 161, 35], [15, 47, 112]], * Val accuracy / confusion: 55.38% / [[156, 64, 10], [61, 90, 24], [19, 54, 42]] ------------------------------ Epoch 439 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.881520 - Iter 024 / 025, Loss: 0.726498 * Train accuracy / confusion: 68.25% / [[278, 66, 13], [76, 158, 30], [15, 54, 110]], * Val accuracy / confusion: 56.54% / [[138, 77, 15], [42, 98, 35], [8, 49, 58]] ------------------------------ Epoch 440 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.646157 - Iter 024 / 025, Loss: 0.681000 * Train accuracy / confusion: 70.25% / [[297, 46, 11], [72, 158, 40], [22, 47, 107]], * Val accuracy / confusion: 57.12% / [[155, 65, 10], [56, 96, 23], [15, 54, 46]] ------------------------------ Epoch 441 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897495 - Iter 024 / 025, Loss: 0.686033 * Train accuracy / confusion: 68.00% / [[281, 61, 16], [83, 156, 26], [15, 55, 107]], * Val accuracy / confusion: 57.88% / [[161, 51, 18], [66, 73, 36], [17, 31, 67]] ------------------------------ Epoch 442 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712109 - Iter 024 / 025, Loss: 0.770592 * Train accuracy / confusion: 67.38% / [[287, 45, 23], [88, 142, 40], [23, 42, 110]], * Val accuracy / confusion: 55.96% / [[161, 54, 15], [63, 81, 31], [19, 47, 49]] ------------------------------ Epoch 443 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.663626 - Iter 024 / 025, Loss: 0.701537 * Train accuracy / confusion: 70.75% / [[291, 58, 11], [76, 166, 27], [20, 42, 109]], * Val accuracy / confusion: 56.73% / [[159, 58, 13], [65, 89, 21], [26, 42, 47]] ------------------------------ Epoch 444 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.784968 - Iter 024 / 025, Loss: 0.768380 * Train accuracy / confusion: 69.75% / [[289, 59, 13], [89, 154, 24], [13, 44, 115]], * Val accuracy / confusion: 55.58% / [[146, 59, 25], [60, 91, 24], [13, 50, 52]] ------------------------------ Epoch 445 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.095355 - Iter 024 / 025, Loss: 0.566252 * Train accuracy / confusion: 70.75% / [[293, 43, 19], [75, 158, 34], [20, 43, 115]], * Val accuracy / confusion: 55.58% / [[157, 59, 14], [68, 79, 28], [21, 41, 53]] ------------------------------ Epoch 446 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601506 - Iter 024 / 025, Loss: 0.563670 * Train accuracy / confusion: 69.25% / [[288, 59, 8], [77, 160, 31], [19, 52, 106]], * Val accuracy / confusion: 57.31% / [[160, 56, 14], [57, 80, 38], [20, 37, 58]] ------------------------------ Epoch 447 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719243 - Iter 024 / 025, Loss: 0.832683 * Train accuracy / confusion: 68.00% / [[289, 53, 11], [86, 147, 36], [24, 46, 108]], * Val accuracy / confusion: 57.12% / [[136, 83, 11], [47, 113, 15], [12, 55, 48]] ------------------------------ Epoch 448 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.714146 - Iter 024 / 025, Loss: 0.631077 * Train accuracy / confusion: 70.00% / [[275, 65, 13], [67, 175, 29], [21, 45, 110]], * Val accuracy / confusion: 56.92% / [[175, 46, 9], [81, 67, 27], [27, 34, 54]] ------------------------------ Epoch 449 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.015351 - Iter 024 / 025, Loss: 0.620472 * Train accuracy / confusion: 69.62% / [[281, 58, 17], [74, 161, 31], [23, 40, 115]], * Val accuracy / confusion: 56.15% / [[143, 76, 11], [47, 106, 22], [13, 59, 43]] ------------------------------ Epoch 450 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709932 - Iter 024 / 025, Loss: 0.867877 * Train accuracy / confusion: 66.88% / [[283, 63, 9], [86, 150, 29], [21, 57, 102]], * Val accuracy / confusion: 55.96% / [[166, 49, 15], [81, 67, 27], [21, 36, 58]] ------------------------------ Epoch 451 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814670 - Iter 024 / 025, Loss: 0.541839 * Train accuracy / confusion: 68.88% / [[306, 43, 10], [92, 132, 43], [20, 41, 113]], * Val accuracy / confusion: 54.42% / [[145, 59, 26], [49, 82, 44], [14, 45, 56]] ------------------------------ Epoch 452 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.788483 - Iter 024 / 025, Loss: 0.694915 * Train accuracy / confusion: 68.12% / [[288, 56, 12], [82, 158, 26], [27, 52, 99]], * Val accuracy / confusion: 60.19% / [[164, 56, 10], [65, 92, 18], [17, 41, 57]] ------------------------------ Epoch 453 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839216 - Iter 024 / 025, Loss: 1.027369 * Train accuracy / confusion: 68.88% / [[276, 63, 15], [69, 170, 34], [18, 50, 105]], * Val accuracy / confusion: 55.00% / [[166, 48, 16], [73, 70, 32], [25, 40, 50]] ------------------------------ Epoch 454 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.619319 - Iter 024 / 025, Loss: 0.852948 * Train accuracy / confusion: 71.38% / [[291, 48, 13], [77, 163, 28], [18, 45, 117]], * Val accuracy / confusion: 53.27% / [[131, 66, 33], [40, 77, 58], [14, 32, 69]] ------------------------------ Epoch 455 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.608262 - Iter 024 / 025, Loss: 0.771674 * Train accuracy / confusion: 71.38% / [[292, 44, 17], [75, 167, 31], [22, 40, 112]], * Val accuracy / confusion: 57.88% / [[176, 44, 10], [72, 82, 21], [25, 47, 43]] ------------------------------ Epoch 456 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624380 - Iter 024 / 025, Loss: 0.729655 * Train accuracy / confusion: 68.75% / [[293, 59, 8], [91, 150, 24], [20, 48, 107]], * Val accuracy / confusion: 57.88% / [[148, 70, 12], [54, 104, 17], [15, 51, 49]] ------------------------------ Epoch 457 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738747 - Iter 024 / 025, Loss: 0.676584 * Train accuracy / confusion: 70.12% / [[296, 50, 11], [83, 156, 29], [19, 47, 109]], * Val accuracy / confusion: 58.08% / [[146, 63, 21], [45, 93, 37], [12, 40, 63]] ------------------------------ Epoch 458 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.774454 - Iter 024 / 025, Loss: 0.608617 * Train accuracy / confusion: 70.62% / [[284, 62, 11], [68, 172, 28], [21, 45, 109]], * Val accuracy / confusion: 56.54% / [[172, 44, 14], [73, 86, 16], [23, 56, 36]] ------------------------------ Epoch 459 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.710490 - Iter 024 / 025, Loss: 0.558187 * Train accuracy / confusion: 67.88% / [[292, 46, 13], [93, 147, 29], [27, 49, 104]], * Val accuracy / confusion: 56.35% / [[154, 67, 9], [59, 94, 22], [22, 48, 45]] ------------------------------ Epoch 460 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.729670 - Iter 024 / 025, Loss: 0.530309 * Train accuracy / confusion: 68.62% / [[273, 72, 13], [73, 158, 37], [17, 39, 118]], * Val accuracy / confusion: 57.12% / [[146, 69, 15], [61, 100, 14], [12, 52, 51]] ------------------------------ Epoch 461 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.538462 - Iter 024 / 025, Loss: 0.832005 * Train accuracy / confusion: 71.00% / [[295, 54, 9], [80, 150, 34], [18, 37, 123]], * Val accuracy / confusion: 56.35% / [[146, 59, 25], [43, 79, 53], [17, 30, 68]] ------------------------------ Epoch 462 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.546037 - Iter 024 / 025, Loss: 0.566736 * Train accuracy / confusion: 67.62% / [[279, 59, 19], [67, 153, 45], [21, 48, 109]], * Val accuracy / confusion: 55.77% / [[175, 45, 10], [80, 63, 32], [22, 41, 52]] ------------------------------ Epoch 463 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.583617 - Iter 024 / 025, Loss: 0.825099 * Train accuracy / confusion: 70.00% / [[302, 37, 16], [91, 148, 26], [26, 44, 110]], * Val accuracy / confusion: 55.00% / [[127, 82, 21], [40, 98, 37], [13, 41, 61]] ------------------------------ Epoch 464 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665891 - Iter 024 / 025, Loss: 0.660178 * Train accuracy / confusion: 71.62% / [[284, 57, 17], [71, 166, 28], [15, 39, 123]], * Val accuracy / confusion: 59.04% / [[194, 30, 6], [92, 76, 7], [37, 41, 37]] ------------------------------ Epoch 465 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557618 - Iter 024 / 025, Loss: 0.685942 * Train accuracy / confusion: 72.25% / [[301, 49, 6], [72, 164, 33], [23, 39, 113]], * Val accuracy / confusion: 57.31% / [[154, 46, 30], [52, 70, 53], [15, 26, 74]] ------------------------------ Epoch 466 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748996 - Iter 024 / 025, Loss: 0.744780 * Train accuracy / confusion: 67.50% / [[293, 45, 17], [92, 138, 36], [19, 51, 109]], * Val accuracy / confusion: 53.08% / [[148, 70, 12], [66, 87, 22], [20, 54, 41]] ------------------------------ Epoch 467 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699361 - Iter 024 / 025, Loss: 0.688871 * Train accuracy / confusion: 70.50% / [[276, 59, 16], [66, 177, 27], [19, 49, 111]], * Val accuracy / confusion: 57.88% / [[148, 62, 20], [49, 91, 35], [7, 46, 62]] ------------------------------ Epoch 468 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.382391 - Iter 024 / 025, Loss: 0.538630 * Train accuracy / confusion: 71.00% / [[294, 55, 11], [72, 168, 28], [25, 41, 106]], * Val accuracy / confusion: 55.77% / [[139, 75, 16], [52, 99, 24], [17, 46, 52]] ------------------------------ Epoch 469 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.692516 - Iter 024 / 025, Loss: 0.691412 * Train accuracy / confusion: 69.38% / [[276, 62, 20], [77, 167, 23], [16, 47, 112]], * Val accuracy / confusion: 56.15% / [[152, 66, 12], [59, 90, 26], [17, 48, 50]] ------------------------------ Epoch 470 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.753651 - Iter 024 / 025, Loss: 0.975143 * Train accuracy / confusion: 68.88% / [[282, 49, 22], [77, 166, 28], [23, 50, 103]], * Val accuracy / confusion: 55.38% / [[134, 78, 18], [46, 106, 23], [12, 55, 48]] ------------------------------ Epoch 471 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665828 - Iter 024 / 025, Loss: 0.637437 * Train accuracy / confusion: 67.25% / [[292, 52, 13], [97, 133, 37], [22, 41, 113]], * Val accuracy / confusion: 54.81% / [[150, 60, 20], [60, 85, 30], [21, 44, 50]] ------------------------------ Epoch 472 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.915090 - Iter 024 / 025, Loss: 0.819478 * Train accuracy / confusion: 67.25% / [[282, 63, 11], [81, 154, 34], [21, 52, 102]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [63, 82, 30], [19, 39, 57]] ------------------------------ Epoch 473 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844208 - Iter 024 / 025, Loss: 0.667509 * Train accuracy / confusion: 69.62% / [[300, 53, 7], [93, 150, 23], [23, 44, 107]], * Val accuracy / confusion: 55.38% / [[159, 60, 11], [64, 73, 38], [20, 39, 56]] ------------------------------ Epoch 474 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.968986 - Iter 024 / 025, Loss: 0.646233 * Train accuracy / confusion: 70.38% / [[296, 50, 13], [79, 156, 32], [26, 37, 111]], * Val accuracy / confusion: 57.50% / [[160, 63, 7], [71, 100, 4], [17, 59, 39]] ------------------------------ Epoch 475 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897541 - Iter 024 / 025, Loss: 0.801294 * Train accuracy / confusion: 68.25% / [[288, 59, 13], [86, 150, 27], [24, 45, 108]], * Val accuracy / confusion: 60.96% / [[185, 35, 10], [82, 75, 18], [22, 36, 57]] ------------------------------ Epoch 476 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.502307 - Iter 024 / 025, Loss: 0.709742 * Train accuracy / confusion: 72.00% / [[298, 50, 10], [79, 155, 30], [16, 39, 123]], * Val accuracy / confusion: 54.62% / [[146, 71, 13], [57, 89, 29], [20, 46, 49]] ------------------------------ Epoch 477 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.618841 - Iter 024 / 025, Loss: 0.475062 * Train accuracy / confusion: 70.12% / [[291, 51, 14], [79, 157, 33], [20, 42, 113]], * Val accuracy / confusion: 58.65% / [[165, 62, 3], [62, 99, 14], [24, 50, 41]] ------------------------------ Epoch 478 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.562244 - Iter 024 / 025, Loss: 0.537736 * Train accuracy / confusion: 70.38% / [[292, 58, 7], [82, 155, 28], [22, 40, 116]], * Val accuracy / confusion: 57.50% / [[155, 60, 15], [58, 99, 18], [20, 50, 45]] ------------------------------ Epoch 479 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.689816 - Iter 024 / 025, Loss: 0.469346 * Train accuracy / confusion: 69.00% / [[284, 61, 10], [81, 158, 26], [16, 54, 110]], * Val accuracy / confusion: 59.04% / [[162, 58, 10], [59, 93, 23], [22, 41, 52]] ------------------------------ Epoch 480 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.639126 - Iter 024 / 025, Loss: 0.759094 * Train accuracy / confusion: 71.50% / [[295, 48, 13], [81, 149, 37], [16, 33, 128]], * Val accuracy / confusion: 58.46% / [[157, 56, 17], [58, 83, 34], [20, 31, 64]] ------------------------------ Epoch 481 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.774490 - Iter 024 / 025, Loss: 0.704731 * Train accuracy / confusion: 67.75% / [[283, 62, 13], [80, 160, 27], [18, 58, 99]], * Val accuracy / confusion: 56.73% / [[143, 56, 31], [50, 78, 47], [14, 27, 74]] ------------------------------ Epoch 482 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686120 - Iter 024 / 025, Loss: 0.900059 * Train accuracy / confusion: 68.88% / [[289, 51, 13], [92, 151, 29], [18, 46, 111]], * Val accuracy / confusion: 57.88% / [[169, 49, 12], [71, 80, 24], [27, 36, 52]] ------------------------------ Epoch 483 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779058 - Iter 024 / 025, Loss: 0.698691 * Train accuracy / confusion: 68.38% / [[279, 71, 9], [71, 157, 34], [19, 49, 111]], * Val accuracy / confusion: 56.54% / [[168, 38, 24], [62, 62, 51], [20, 31, 64]] ------------------------------ Epoch 484 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.588457 - Iter 024 / 025, Loss: 0.661609 * Train accuracy / confusion: 68.88% / [[290, 55, 12], [77, 152, 41], [23, 41, 109]], * Val accuracy / confusion: 56.54% / [[153, 60, 17], [60, 92, 23], [18, 48, 49]] ------------------------------ Epoch 485 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839587 - Iter 024 / 025, Loss: 0.651003 * Train accuracy / confusion: 70.38% / [[282, 60, 15], [69, 174, 26], [19, 48, 107]], * Val accuracy / confusion: 57.31% / [[182, 40, 8], [78, 70, 27], [31, 38, 46]] ------------------------------ Epoch 486 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806688 - Iter 024 / 025, Loss: 0.714140 * Train accuracy / confusion: 68.12% / [[284, 54, 15], [84, 146, 39], [24, 39, 115]], * Val accuracy / confusion: 56.54% / [[152, 70, 8], [61, 97, 17], [15, 55, 45]] ------------------------------ Epoch 487 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.732688 - Iter 024 / 025, Loss: 0.940940 * Train accuracy / confusion: 70.88% / [[284, 57, 12], [73, 170, 27], [16, 48, 113]], * Val accuracy / confusion: 57.50% / [[167, 36, 27], [70, 67, 38], [24, 26, 65]] ------------------------------ Epoch 488 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.570629 - Iter 024 / 025, Loss: 0.595611 * Train accuracy / confusion: 69.62% / [[295, 46, 13], [82, 153, 36], [25, 41, 109]], * Val accuracy / confusion: 54.62% / [[133, 63, 34], [44, 91, 40], [13, 42, 60]] ------------------------------ Epoch 489 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.971033 - Iter 024 / 025, Loss: 0.649237 * Train accuracy / confusion: 69.62% / [[279, 64, 11], [71, 167, 31], [21, 45, 111]], * Val accuracy / confusion: 55.77% / [[169, 54, 7], [77, 80, 18], [28, 46, 41]] ------------------------------ Epoch 490 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.694997 - Iter 024 / 025, Loss: 0.658025 * Train accuracy / confusion: 70.50% / [[301, 52, 9], [74, 154, 36], [18, 47, 109]], * Val accuracy / confusion: 51.92% / [[125, 67, 38], [50, 82, 43], [13, 39, 63]] ------------------------------ Epoch 491 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868866 - Iter 024 / 025, Loss: 0.828435 * Train accuracy / confusion: 68.25% / [[285, 54, 14], [81, 153, 35], [24, 46, 108]], * Val accuracy / confusion: 54.81% / [[168, 51, 11], [80, 70, 25], [30, 38, 47]] ------------------------------ Epoch 492 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.586306 - Iter 024 / 025, Loss: 0.689862 * Train accuracy / confusion: 69.00% / [[292, 54, 10], [81, 153, 35], [16, 52, 107]], * Val accuracy / confusion: 55.58% / [[160, 43, 27], [71, 66, 38], [18, 34, 63]] ------------------------------ Epoch 493 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706959 - Iter 024 / 025, Loss: 0.811446 * Train accuracy / confusion: 70.50% / [[289, 50, 14], [81, 160, 32], [23, 36, 115]], * Val accuracy / confusion: 56.15% / [[148, 64, 18], [56, 94, 25], [19, 46, 50]] ------------------------------ Epoch 494 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.721962 - Iter 024 / 025, Loss: 0.786350 * Train accuracy / confusion: 71.62% / [[279, 61, 14], [72, 169, 29], [15, 36, 125]], * Val accuracy / confusion: 55.38% / [[172, 45, 13], [83, 59, 33], [21, 37, 57]] ------------------------------ Epoch 495 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.718242 - Iter 024 / 025, Loss: 0.638696 * Train accuracy / confusion: 69.88% / [[284, 57, 17], [76, 154, 37], [23, 31, 121]], * Val accuracy / confusion: 57.88% / [[160, 55, 15], [60, 93, 22], [23, 44, 48]] ------------------------------ Epoch 496 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673134 - Iter 024 / 025, Loss: 0.635962 * Train accuracy / confusion: 68.75% / [[294, 49, 10], [83, 157, 30], [26, 52, 99]], * Val accuracy / confusion: 55.77% / [[148, 66, 16], [57, 88, 30], [18, 43, 54]] ------------------------------ Epoch 497 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.656383 - Iter 024 / 025, Loss: 0.511235 * Train accuracy / confusion: 70.25% / [[277, 61, 13], [77, 162, 30], [19, 38, 123]], * Val accuracy / confusion: 55.96% / [[160, 37, 33], [65, 58, 52], [19, 23, 73]] ------------------------------ Epoch 498 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.754887 - Iter 024 / 025, Loss: 0.767223 * Train accuracy / confusion: 68.75% / [[284, 57, 15], [79, 159, 29], [20, 50, 107]], * Val accuracy / confusion: 55.38% / [[140, 80, 10], [50, 107, 18], [16, 58, 41]] ------------------------------ Epoch 499 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.825072 - Iter 024 / 025, Loss: 0.681441 * Train accuracy / confusion: 68.75% / [[289, 52, 12], [87, 146, 36], [20, 43, 115]], * Val accuracy / confusion: 56.73% / [[135, 80, 15], [43, 113, 19], [16, 52, 47]] ------------------------------ Epoch 500 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.733753 - Iter 024 / 025, Loss: 0.633813 * Train accuracy / confusion: 70.00% / [[283, 51, 18], [72, 157, 39], [8, 52, 120]], * Val accuracy / confusion: 56.15% / [[142, 72, 16], [58, 97, 20], [17, 45, 53]] ------------------------------ Epoch 501 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.098037 - Iter 024 / 025, Loss: 0.821510 * Train accuracy / confusion: 70.00% / [[288, 59, 10], [75, 167, 25], [22, 49, 105]], * Val accuracy / confusion: 56.15% / [[149, 75, 6], [57, 99, 19], [16, 55, 44]] ------------------------------ Epoch 502 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.625252 - Iter 024 / 025, Loss: 0.694954 * Train accuracy / confusion: 71.50% / [[284, 59, 13], [67, 165, 36], [16, 37, 123]], * Val accuracy / confusion: 56.92% / [[141, 71, 18], [36, 105, 34], [11, 54, 50]] ------------------------------ Epoch 503 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.575899 - Iter 024 / 025, Loss: 0.682356 * Train accuracy / confusion: 70.25% / [[298, 49, 11], [85, 152, 28], [16, 49, 112]], * Val accuracy / confusion: 55.77% / [[152, 64, 14], [58, 84, 33], [19, 42, 54]] ------------------------------ Epoch 504 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.772190 - Iter 024 / 025, Loss: 0.616031 * Train accuracy / confusion: 69.50% / [[286, 52, 16], [87, 160, 24], [20, 45, 110]], * Val accuracy / confusion: 56.54% / [[188, 35, 7], [102, 62, 11], [37, 34, 44]] ------------------------------ Epoch 505 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.529158 - Iter 024 / 025, Loss: 0.535902 * Train accuracy / confusion: 71.75% / [[288, 49, 22], [60, 170, 37], [18, 40, 116]], * Val accuracy / confusion: 58.27% / [[165, 51, 14], [66, 84, 25], [21, 40, 54]] ------------------------------ Epoch 506 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.708004 - Iter 024 / 025, Loss: 0.613035 * Train accuracy / confusion: 71.38% / [[291, 59, 4], [72, 166, 29], [22, 43, 114]], * Val accuracy / confusion: 55.19% / [[148, 68, 14], [53, 97, 25], [12, 61, 42]] ------------------------------ Epoch 507 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.771354 - Iter 024 / 025, Loss: 0.851679 * Train accuracy / confusion: 72.25% / [[290, 53, 11], [74, 160, 35], [19, 30, 128]], * Val accuracy / confusion: 57.12% / [[154, 66, 10], [64, 85, 26], [12, 45, 58]] ------------------------------ Epoch 508 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603529 - Iter 024 / 025, Loss: 0.713110 * Train accuracy / confusion: 71.50% / [[297, 54, 9], [68, 177, 24], [24, 49, 98]], * Val accuracy / confusion: 55.58% / [[143, 78, 9], [57, 100, 18], [10, 59, 46]] ------------------------------ Epoch 509 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.424787 - Iter 024 / 025, Loss: 0.770838 * Train accuracy / confusion: 70.38% / [[288, 53, 15], [77, 158, 33], [22, 37, 117]], * Val accuracy / confusion: 56.92% / [[150, 57, 23], [51, 74, 50], [13, 30, 72]] ------------------------------ Epoch 510 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.551827 - Iter 024 / 025, Loss: 0.678720 * Train accuracy / confusion: 70.25% / [[308, 38, 10], [91, 143, 35], [27, 37, 111]], * Val accuracy / confusion: 56.73% / [[179, 48, 3], [85, 73, 17], [17, 55, 43]] ------------------------------ Epoch 511 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.629039 - Iter 024 / 025, Loss: 0.779341 * Train accuracy / confusion: 69.00% / [[267, 76, 9], [66, 175, 29], [16, 52, 110]], * Val accuracy / confusion: 58.46% / [[166, 44, 20], [58, 82, 35], [16, 43, 56]] ------------------------------ Epoch 512 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.846942 - Iter 024 / 025, Loss: 0.571833 * Train accuracy / confusion: 70.50% / [[292, 48, 14], [84, 156, 29], [26, 35, 116]], * Val accuracy / confusion: 55.38% / [[144, 71, 15], [54, 91, 30], [17, 45, 53]] ------------------------------ Epoch 513 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.701415 - Iter 024 / 025, Loss: 0.635991 * Train accuracy / confusion: 66.88% / [[272, 66, 15], [81, 150, 39], [14, 50, 113]], * Val accuracy / confusion: 57.88% / [[154, 66, 10], [57, 91, 27], [16, 43, 56]] ------------------------------ Epoch 514 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.946455 - Iter 024 / 025, Loss: 0.659031 * Train accuracy / confusion: 69.00% / [[275, 67, 13], [73, 171, 24], [18, 53, 106]], * Val accuracy / confusion: 56.73% / [[157, 40, 33], [61, 63, 51], [17, 23, 75]] ------------------------------ Epoch 515 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.636406 - Iter 024 / 025, Loss: 0.790505 * Train accuracy / confusion: 69.38% / [[293, 51, 16], [79, 158, 30], [26, 43, 104]], * Val accuracy / confusion: 56.35% / [[187, 38, 5], [92, 69, 14], [28, 50, 37]] ------------------------------ Epoch 516 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.650540 - Iter 024 / 025, Loss: 0.768928 * Train accuracy / confusion: 70.25% / [[286, 55, 10], [63, 169, 37], [25, 48, 107]], * Val accuracy / confusion: 60.00% / [[140, 63, 27], [42, 109, 24], [14, 38, 63]] ------------------------------ Epoch 517 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.733517 - Iter 024 / 025, Loss: 0.668051 * Train accuracy / confusion: 69.88% / [[285, 60, 10], [83, 163, 25], [23, 40, 111]], * Val accuracy / confusion: 55.96% / [[148, 62, 20], [54, 79, 42], [15, 36, 64]] ------------------------------ Epoch 518 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.561900 - Iter 024 / 025, Loss: 0.655238 * Train accuracy / confusion: 70.12% / [[281, 60, 13], [82, 156, 32], [11, 41, 124]], * Val accuracy / confusion: 56.73% / [[156, 53, 21], [59, 87, 29], [22, 41, 52]] ------------------------------ Epoch 519 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592096 - Iter 024 / 025, Loss: 0.688581 * Train accuracy / confusion: 71.75% / [[297, 42, 16], [87, 155, 26], [17, 38, 122]], * Val accuracy / confusion: 58.27% / [[180, 45, 5], [83, 82, 10], [37, 37, 41]] ------------------------------ Epoch 520 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.761910 - Iter 024 / 025, Loss: 0.855817 * Train accuracy / confusion: 68.25% / [[285, 59, 15], [81, 160, 29], [23, 47, 101]], * Val accuracy / confusion: 54.62% / [[157, 52, 21], [64, 89, 22], [22, 55, 38]] ------------------------------ Epoch 521 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601013 - Iter 024 / 025, Loss: 0.538509 * Train accuracy / confusion: 72.00% / [[308, 38, 9], [90, 158, 20], [23, 44, 110]], * Val accuracy / confusion: 58.85% / [[161, 57, 12], [52, 87, 36], [17, 40, 58]] ------------------------------ Epoch 522 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.550054 - Iter 024 / 025, Loss: 0.827584 * Train accuracy / confusion: 70.25% / [[287, 58, 10], [88, 164, 18], [15, 49, 111]], * Val accuracy / confusion: 55.00% / [[127, 75, 28], [38, 91, 46], [10, 37, 68]] ------------------------------ Epoch 523 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.657342 - Iter 024 / 025, Loss: 0.724326 * Train accuracy / confusion: 71.12% / [[294, 48, 13], [82, 166, 20], [27, 41, 109]], * Val accuracy / confusion: 55.96% / [[154, 50, 26], [62, 79, 34], [16, 41, 58]] ------------------------------ Epoch 524 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.630436 - Iter 024 / 025, Loss: 0.496295 * Train accuracy / confusion: 71.12% / [[295, 53, 12], [70, 159, 36], [20, 40, 115]], * Val accuracy / confusion: 56.73% / [[159, 58, 13], [68, 90, 17], [17, 52, 46]] ------------------------------ Epoch 525 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.902914 - Iter 024 / 025, Loss: 0.569721 * Train accuracy / confusion: 69.12% / [[292, 50, 13], [93, 152, 24], [19, 48, 109]], * Val accuracy / confusion: 58.46% / [[171, 51, 8], [80, 81, 14], [23, 40, 52]] ------------------------------ Epoch 526 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.767552 - Iter 024 / 025, Loss: 0.591425 * Train accuracy / confusion: 70.75% / [[275, 64, 17], [58, 180, 30], [21, 44, 111]], * Val accuracy / confusion: 59.04% / [[175, 42, 13], [75, 71, 29], [21, 33, 61]] ------------------------------ Epoch 527 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673675 - Iter 024 / 025, Loss: 0.591428 * Train accuracy / confusion: 70.75% / [[291, 42, 20], [80, 162, 28], [17, 47, 113]], * Val accuracy / confusion: 56.73% / [[141, 74, 15], [46, 111, 18], [17, 55, 43]] ------------------------------ Epoch 528 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686244 - Iter 024 / 025, Loss: 0.630125 * Train accuracy / confusion: 70.62% / [[283, 56, 19], [74, 163, 29], [19, 38, 119]], * Val accuracy / confusion: 57.31% / [[151, 60, 19], [55, 81, 39], [17, 32, 66]] ------------------------------ Epoch 529 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664933 - Iter 024 / 025, Loss: 0.355903 * Train accuracy / confusion: 73.00% / [[293, 51, 11], [69, 178, 24], [19, 42, 113]], * Val accuracy / confusion: 55.77% / [[168, 48, 14], [72, 58, 45], [22, 29, 64]] ------------------------------ Epoch 530 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703692 - Iter 024 / 025, Loss: 0.606336 * Train accuracy / confusion: 70.12% / [[290, 54, 9], [91, 152, 24], [18, 43, 119]], * Val accuracy / confusion: 58.65% / [[140, 74, 16], [42, 110, 23], [10, 50, 55]] ------------------------------ Epoch 531 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838739 - Iter 024 / 025, Loss: 0.726061 * Train accuracy / confusion: 71.25% / [[290, 57, 14], [79, 152, 33], [16, 31, 128]], * Val accuracy / confusion: 57.12% / [[162, 57, 11], [67, 94, 14], [24, 50, 41]] ------------------------------ Epoch 532 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738656 - Iter 024 / 025, Loss: 0.599856 * Train accuracy / confusion: 72.50% / [[295, 49, 13], [76, 174, 20], [20, 42, 111]], * Val accuracy / confusion: 53.85% / [[133, 66, 31], [50, 86, 39], [13, 41, 61]] ------------------------------ Epoch 533 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665958 - Iter 024 / 025, Loss: 0.483870 * Train accuracy / confusion: 69.88% / [[295, 49, 13], [80, 153, 33], [14, 52, 111]], * Val accuracy / confusion: 59.04% / [[182, 37, 11], [72, 79, 24], [23, 46, 46]] ------------------------------ Epoch 534 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693730 - Iter 024 / 025, Loss: 0.481774 * Train accuracy / confusion: 74.00% / [[287, 50, 19], [68, 182, 17], [19, 35, 123]], * Val accuracy / confusion: 53.65% / [[141, 49, 40], [47, 54, 74], [12, 19, 84]] ------------------------------ Epoch 535 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779084 - Iter 024 / 025, Loss: 0.605042 * Train accuracy / confusion: 70.50% / [[301, 44, 10], [93, 149, 28], [24, 37, 114]], * Val accuracy / confusion: 58.65% / [[178, 49, 3], [66, 96, 13], [29, 55, 31]] ------------------------------ Epoch 536 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.016848 - Iter 024 / 025, Loss: 0.672205 * Train accuracy / confusion: 70.38% / [[294, 50, 14], [80, 159, 27], [21, 45, 110]], * Val accuracy / confusion: 58.65% / [[158, 59, 13], [59, 91, 25], [21, 38, 56]] ------------------------------ Epoch 537 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.632231 - Iter 024 / 025, Loss: 0.763613 * Train accuracy / confusion: 71.38% / [[288, 53, 16], [71, 165, 32], [18, 39, 118]], * Val accuracy / confusion: 54.81% / [[144, 68, 18], [48, 94, 33], [18, 50, 47]] ------------------------------ Epoch 538 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.770925 - Iter 024 / 025, Loss: 0.688175 * Train accuracy / confusion: 68.88% / [[278, 64, 16], [77, 170, 22], [17, 53, 103]], * Val accuracy / confusion: 56.35% / [[148, 62, 20], [60, 84, 31], [21, 33, 61]] ------------------------------ Epoch 539 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.448756 - Iter 024 / 025, Loss: 0.455409 * Train accuracy / confusion: 72.00% / [[302, 39, 16], [85, 156, 30], [15, 39, 118]], * Val accuracy / confusion: 61.73% / [[182, 40, 8], [71, 89, 15], [25, 40, 50]] ------------------------------ Epoch 540 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.612869 - Iter 024 / 025, Loss: 0.837114 * Train accuracy / confusion: 69.75% / [[295, 56, 10], [87, 160, 18], [21, 50, 103]], * Val accuracy / confusion: 55.00% / [[129, 89, 12], [44, 97, 34], [15, 40, 60]] ------------------------------ Epoch 541 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.843517 - Iter 024 / 025, Loss: 0.670865 * Train accuracy / confusion: 70.50% / [[287, 57, 12], [78, 154, 35], [20, 34, 123]], * Val accuracy / confusion: 57.12% / [[171, 53, 6], [75, 83, 17], [22, 50, 43]] ------------------------------ Epoch 542 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.524811 - Iter 024 / 025, Loss: 0.720298 * Train accuracy / confusion: 72.38% / [[293, 55, 11], [73, 166, 24], [18, 40, 120]], * Val accuracy / confusion: 55.19% / [[166, 56, 8], [71, 90, 14], [23, 61, 31]] ------------------------------ Epoch 543 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.875921 - Iter 024 / 025, Loss: 0.743739 * Train accuracy / confusion: 69.00% / [[267, 68, 18], [71, 162, 39], [12, 40, 123]], * Val accuracy / confusion: 59.04% / [[169, 47, 14], [68, 81, 26], [17, 41, 57]] ------------------------------ Epoch 544 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.571003 - Iter 024 / 025, Loss: 0.706171 * Train accuracy / confusion: 70.62% / [[293, 55, 9], [88, 157, 23], [18, 42, 115]], * Val accuracy / confusion: 54.42% / [[134, 74, 22], [47, 86, 42], [12, 40, 63]] ------------------------------ Epoch 545 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.655963 - Iter 024 / 025, Loss: 0.710609 * Train accuracy / confusion: 70.25% / [[283, 58, 15], [63, 172, 34], [17, 51, 107]], * Val accuracy / confusion: 56.73% / [[149, 57, 24], [57, 82, 36], [13, 38, 64]] ------------------------------ Epoch 546 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592887 - Iter 024 / 025, Loss: 0.651868 * Train accuracy / confusion: 70.25% / [[293, 57, 8], [74, 167, 29], [16, 54, 102]], * Val accuracy / confusion: 56.73% / [[143, 64, 23], [53, 91, 31], [16, 38, 61]] ------------------------------ Epoch 547 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.617662 - Iter 024 / 025, Loss: 0.675370 * Train accuracy / confusion: 70.12% / [[279, 65, 15], [68, 172, 29], [19, 43, 110]], * Val accuracy / confusion: 57.88% / [[165, 44, 21], [61, 72, 42], [16, 35, 64]] ------------------------------ Epoch 548 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.870301 - Iter 024 / 025, Loss: 0.861058 * Train accuracy / confusion: 70.25% / [[290, 53, 10], [90, 150, 30], [21, 34, 122]], * Val accuracy / confusion: 57.12% / [[164, 58, 8], [68, 88, 19], [22, 48, 45]] ------------------------------ Epoch 549 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712313 - Iter 024 / 025, Loss: 0.694196 * Train accuracy / confusion: 70.88% / [[290, 57, 12], [65, 167, 37], [17, 45, 110]], * Val accuracy / confusion: 53.85% / [[153, 71, 6], [74, 81, 20], [20, 49, 46]] ------------------------------ Epoch 550 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.547120 - Iter 024 / 025, Loss: 0.670078 * Train accuracy / confusion: 70.25% / [[291, 57, 11], [74, 155, 37], [18, 41, 116]], * Val accuracy / confusion: 57.50% / [[160, 60, 10], [65, 96, 14], [21, 51, 43]] ------------------------------ Epoch 551 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601592 - Iter 024 / 025, Loss: 0.639663 * Train accuracy / confusion: 72.00% / [[308, 47, 5], [77, 162, 26], [25, 44, 106]], * Val accuracy / confusion: 56.15% / [[155, 65, 10], [70, 88, 17], [16, 50, 49]] ------------------------------ Epoch 552 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.567616 - Iter 024 / 025, Loss: 0.982786 * Train accuracy / confusion: 72.75% / [[292, 48, 16], [73, 170, 24], [22, 35, 120]], * Val accuracy / confusion: 57.50% / [[166, 49, 15], [79, 76, 20], [21, 37, 57]] ------------------------------ Epoch 553 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.778766 - Iter 024 / 025, Loss: 0.821374 * Train accuracy / confusion: 71.50% / [[303, 44, 11], [79, 157, 32], [16, 46, 112]], * Val accuracy / confusion: 57.12% / [[164, 54, 12], [64, 93, 18], [16, 59, 40]] ------------------------------ Epoch 554 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.675798 - Iter 024 / 025, Loss: 0.580874 * Train accuracy / confusion: 70.25% / [[278, 58, 20], [73, 163, 32], [15, 40, 121]], * Val accuracy / confusion: 56.15% / [[173, 52, 5], [78, 83, 14], [26, 53, 36]] ------------------------------ Epoch 555 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.632073 - Iter 024 / 025, Loss: 0.606075 * Train accuracy / confusion: 69.12% / [[285, 57, 11], [90, 153, 27], [22, 40, 115]], * Val accuracy / confusion: 54.62% / [[145, 51, 34], [55, 62, 58], [15, 23, 77]] ------------------------------ Epoch 556 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.610904 - Iter 024 / 025, Loss: 0.642904 * Train accuracy / confusion: 70.75% / [[291, 49, 14], [83, 159, 27], [21, 40, 116]], * Val accuracy / confusion: 55.58% / [[131, 82, 17], [55, 95, 25], [10, 42, 63]] ------------------------------ Epoch 557 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.796843 - Iter 024 / 025, Loss: 0.851313 * Train accuracy / confusion: 71.00% / [[278, 64, 14], [68, 177, 22], [20, 44, 113]], * Val accuracy / confusion: 57.31% / [[173, 44, 13], [72, 69, 34], [21, 38, 56]] ------------------------------ Epoch 558 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.684650 - Iter 024 / 025, Loss: 0.887414 * Train accuracy / confusion: 70.38% / [[299, 46, 14], [86, 152, 29], [19, 43, 112]], * Val accuracy / confusion: 57.31% / [[176, 39, 15], [73, 65, 37], [27, 31, 57]] ------------------------------ Epoch 559 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.930885 - Iter 024 / 025, Loss: 0.579140 * Train accuracy / confusion: 70.00% / [[279, 62, 13], [73, 164, 33], [15, 44, 117]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [56, 90, 29], [17, 41, 57]] ------------------------------ Epoch 560 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676913 - Iter 024 / 025, Loss: 0.752956 * Train accuracy / confusion: 70.75% / [[294, 51, 11], [76, 156, 36], [13, 47, 116]], * Val accuracy / confusion: 54.42% / [[168, 56, 6], [74, 73, 28], [22, 51, 42]] ------------------------------ Epoch 561 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592673 - Iter 024 / 025, Loss: 0.569582 * Train accuracy / confusion: 71.38% / [[290, 57, 9], [79, 154, 33], [17, 34, 127]], * Val accuracy / confusion: 56.54% / [[151, 62, 17], [58, 94, 23], [17, 49, 49]] ------------------------------ Epoch 562 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.000741 - Iter 024 / 025, Loss: 0.633380 * Train accuracy / confusion: 70.62% / [[289, 59, 9], [74, 157, 35], [13, 45, 119]], * Val accuracy / confusion: 52.31% / [[121, 72, 37], [43, 96, 36], [10, 50, 55]] ------------------------------ Epoch 563 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.548684 - Iter 024 / 025, Loss: 0.587114 * Train accuracy / confusion: 71.62% / [[292, 53, 13], [72, 162, 34], [18, 37, 119]], * Val accuracy / confusion: 55.96% / [[164, 46, 20], [71, 74, 30], [21, 41, 53]] ------------------------------ Epoch 564 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.578659 - Iter 024 / 025, Loss: 0.598448 * Train accuracy / confusion: 71.88% / [[290, 52, 12], [72, 170, 25], [11, 53, 115]], * Val accuracy / confusion: 59.04% / [[173, 45, 12], [72, 90, 13], [24, 47, 44]] ------------------------------ Epoch 565 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.580563 - Iter 024 / 025, Loss: 0.755668 * Train accuracy / confusion: 69.38% / [[291, 48, 13], [89, 152, 33], [25, 37, 112]], * Val accuracy / confusion: 57.88% / [[147, 62, 21], [49, 94, 32], [12, 43, 60]] ------------------------------ Epoch 566 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592976 - Iter 024 / 025, Loss: 0.777307 * Train accuracy / confusion: 71.00% / [[271, 72, 17], [69, 175, 22], [14, 38, 122]], * Val accuracy / confusion: 57.12% / [[154, 57, 19], [59, 94, 22], [20, 46, 49]] ------------------------------ Epoch 567 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.715936 - Iter 024 / 025, Loss: 0.698333 * Train accuracy / confusion: 70.38% / [[288, 58, 12], [82, 164, 21], [22, 42, 111]], * Val accuracy / confusion: 57.50% / [[180, 35, 15], [76, 70, 29], [29, 37, 49]] ------------------------------ Epoch 568 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.667283 - Iter 024 / 025, Loss: 0.758193 * Train accuracy / confusion: 70.62% / [[287, 55, 12], [70, 164, 36], [18, 44, 114]], * Val accuracy / confusion: 58.08% / [[165, 51, 14], [68, 79, 28], [20, 37, 58]] ------------------------------ Epoch 569 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.548526 - Iter 024 / 025, Loss: 0.449043 * Train accuracy / confusion: 71.38% / [[286, 63, 9], [76, 168, 24], [21, 36, 117]], * Val accuracy / confusion: 57.31% / [[155, 54, 21], [60, 80, 35], [20, 32, 63]] ------------------------------ Epoch 570 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.701447 - Iter 024 / 025, Loss: 0.633572 * Train accuracy / confusion: 69.75% / [[299, 49, 9], [83, 157, 26], [18, 57, 102]], * Val accuracy / confusion: 56.15% / [[141, 68, 21], [55, 89, 31], [14, 39, 62]] ------------------------------ Epoch 571 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.711039 - Iter 024 / 025, Loss: 0.715836 * Train accuracy / confusion: 69.50% / [[286, 55, 14], [82, 147, 37], [22, 34, 123]], * Val accuracy / confusion: 55.77% / [[142, 62, 26], [57, 84, 34], [19, 32, 64]] ------------------------------ Epoch 572 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601905 - Iter 024 / 025, Loss: 0.626782 * Train accuracy / confusion: 72.50% / [[289, 54, 16], [52, 177, 37], [11, 50, 114]], * Val accuracy / confusion: 55.77% / [[135, 66, 29], [47, 104, 24], [15, 49, 51]] ------------------------------ Epoch 573 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.729306 - Iter 024 / 025, Loss: 0.829683 * Train accuracy / confusion: 70.12% / [[302, 42, 9], [88, 154, 25], [27, 48, 105]], * Val accuracy / confusion: 56.35% / [[134, 75, 21], [46, 96, 33], [10, 42, 63]] ------------------------------ Epoch 574 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.524893 - Iter 024 / 025, Loss: 0.783941 * Train accuracy / confusion: 71.00% / [[294, 49, 16], [77, 160, 33], [11, 46, 114]], * Val accuracy / confusion: 57.31% / [[176, 48, 6], [67, 94, 14], [27, 60, 28]] ------------------------------ Epoch 575 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.862877 - Iter 024 / 025, Loss: 0.548054 * Train accuracy / confusion: 70.50% / [[291, 51, 15], [71, 160, 36], [19, 44, 113]], * Val accuracy / confusion: 58.65% / [[150, 65, 15], [50, 105, 20], [18, 47, 50]] ------------------------------ Epoch 576 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.766262 - Iter 024 / 025, Loss: 0.645087 * Train accuracy / confusion: 69.50% / [[285, 61, 11], [80, 162, 26], [12, 54, 109]], * Val accuracy / confusion: 57.69% / [[167, 56, 7], [62, 100, 13], [25, 57, 33]] ------------------------------ Epoch 577 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.837964 - Iter 024 / 025, Loss: 0.569436 * Train accuracy / confusion: 71.62% / [[293, 49, 14], [69, 169, 30], [19, 46, 111]], * Val accuracy / confusion: 53.85% / [[148, 41, 41], [58, 54, 63], [16, 21, 78]] ------------------------------ Epoch 578 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.651990 - Iter 024 / 025, Loss: 0.598628 * Train accuracy / confusion: 68.25% / [[285, 56, 16], [71, 165, 33], [23, 55, 96]], * Val accuracy / confusion: 58.08% / [[170, 46, 14], [66, 92, 17], [19, 56, 40]] ------------------------------ Epoch 579 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.643767 - Iter 024 / 025, Loss: 0.848539 * Train accuracy / confusion: 70.75% / [[294, 48, 12], [85, 157, 28], [27, 34, 115]], * Val accuracy / confusion: 57.88% / [[151, 55, 24], [57, 92, 26], [16, 41, 58]] ------------------------------ Epoch 580 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.005673 - Iter 024 / 025, Loss: 0.547495 * Train accuracy / confusion: 70.88% / [[268, 66, 20], [56, 176, 36], [14, 41, 123]], * Val accuracy / confusion: 57.31% / [[168, 48, 14], [70, 70, 35], [20, 35, 60]] ------------------------------ Epoch 581 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.645495 - Iter 024 / 025, Loss: 0.742954 * Train accuracy / confusion: 70.88% / [[301, 41, 15], [98, 148, 22], [21, 36, 118]], * Val accuracy / confusion: 56.15% / [[169, 55, 6], [77, 83, 15], [20, 55, 40]] ------------------------------ Epoch 582 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.525938 - Iter 024 / 025, Loss: 0.879937 * Train accuracy / confusion: 72.38% / [[295, 50, 12], [75, 168, 25], [19, 40, 116]], * Val accuracy / confusion: 55.19% / [[168, 40, 22], [84, 55, 36], [24, 27, 64]] ------------------------------ Epoch 583 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738946 - Iter 024 / 025, Loss: 0.592999 * Train accuracy / confusion: 68.75% / [[291, 50, 16], [79, 149, 40], [25, 40, 110]], * Val accuracy / confusion: 57.50% / [[159, 49, 22], [65, 79, 31], [20, 34, 61]] ------------------------------ Epoch 584 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.584542 - Iter 024 / 025, Loss: 0.806373 * Train accuracy / confusion: 70.50% / [[282, 60, 8], [76, 165, 28], [18, 46, 117]], * Val accuracy / confusion: 56.73% / [[145, 71, 14], [55, 91, 29], [11, 45, 59]] ------------------------------ Epoch 585 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665497 - Iter 024 / 025, Loss: 0.582210 * Train accuracy / confusion: 72.00% / [[290, 45, 17], [65, 169, 38], [7, 52, 117]], * Val accuracy / confusion: 54.62% / [[135, 69, 26], [58, 90, 27], [15, 41, 59]] ------------------------------ Epoch 586 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.649100 - Iter 024 / 025, Loss: 0.836144 * Train accuracy / confusion: 70.12% / [[286, 59, 9], [83, 159, 27], [18, 43, 116]], * Val accuracy / confusion: 56.73% / [[174, 40, 16], [79, 80, 16], [22, 52, 41]] ------------------------------ Epoch 587 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.511034 - Iter 024 / 025, Loss: 0.599677 * Train accuracy / confusion: 72.25% / [[289, 47, 19], [70, 170, 28], [18, 40, 119]], * Val accuracy / confusion: 55.58% / [[154, 54, 22], [63, 74, 38], [21, 33, 61]] ------------------------------ Epoch 588 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.684966 - Iter 024 / 025, Loss: 0.730838 * Train accuracy / confusion: 71.38% / [[288, 60, 11], [76, 165, 27], [21, 34, 118]], * Val accuracy / confusion: 56.54% / [[176, 46, 8], [86, 76, 13], [30, 43, 42]] ------------------------------ Epoch 589 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.680596 - Iter 024 / 025, Loss: 0.656003 * Train accuracy / confusion: 70.88% / [[297, 49, 10], [88, 157, 21], [17, 48, 113]], * Val accuracy / confusion: 55.58% / [[138, 70, 22], [51, 87, 37], [12, 39, 64]] ------------------------------ Epoch 590 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.683637 - Iter 024 / 025, Loss: 0.506637 * Train accuracy / confusion: 71.62% / [[278, 58, 19], [73, 177, 21], [15, 41, 118]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [72, 82, 21], [22, 41, 52]] ------------------------------ Epoch 591 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.815381 - Iter 024 / 025, Loss: 0.583808 * Train accuracy / confusion: 70.00% / [[291, 53, 13], [84, 154, 31], [19, 40, 115]], * Val accuracy / confusion: 56.54% / [[156, 53, 21], [67, 82, 26], [23, 36, 56]] ------------------------------ Epoch 592 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.690612 - Iter 024 / 025, Loss: 0.668052 * Train accuracy / confusion: 70.75% / [[291, 56, 11], [83, 157, 25], [20, 39, 118]], * Val accuracy / confusion: 59.81% / [[168, 53, 9], [63, 95, 17], [20, 47, 48]] ------------------------------ Epoch 593 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603224 - Iter 024 / 025, Loss: 0.739867 * Train accuracy / confusion: 68.88% / [[279, 67, 15], [70, 158, 36], [19, 42, 114]], * Val accuracy / confusion: 57.69% / [[144, 56, 30], [56, 92, 27], [18, 33, 64]] ------------------------------ Epoch 594 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709929 - Iter 024 / 025, Loss: 0.714898 * Train accuracy / confusion: 70.88% / [[285, 61, 12], [81, 167, 18], [19, 42, 115]], * Val accuracy / confusion: 54.81% / [[154, 64, 12], [64, 91, 20], [17, 58, 40]] ------------------------------ Epoch 595 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654096 - Iter 024 / 025, Loss: 0.487952 * Train accuracy / confusion: 69.50% / [[274, 73, 12], [66, 174, 29], [22, 42, 108]], * Val accuracy / confusion: 58.65% / [[169, 54, 7], [65, 103, 7], [23, 59, 33]] ------------------------------ Epoch 596 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748210 - Iter 024 / 025, Loss: 0.596873 * Train accuracy / confusion: 72.88% / [[300, 44, 12], [76, 167, 25], [11, 49, 116]], * Val accuracy / confusion: 55.19% / [[145, 68, 17], [58, 78, 39], [17, 34, 64]] ------------------------------ Epoch 597 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.586725 - Iter 024 / 025, Loss: 0.497066 * Train accuracy / confusion: 72.38% / [[298, 49, 7], [75, 161, 32], [21, 37, 120]], * Val accuracy / confusion: 57.88% / [[152, 62, 16], [53, 92, 30], [18, 40, 57]] ------------------------------ Epoch 598 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.483352 - Iter 024 / 025, Loss: 0.587931 * Train accuracy / confusion: 72.38% / [[300, 49, 10], [79, 159, 30], [15, 38, 120]], * Val accuracy / confusion: 58.85% / [[160, 51, 19], [59, 89, 27], [21, 37, 57]] ------------------------------ Epoch 599 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.567385 - Iter 024 / 025, Loss: 0.829799 * Train accuracy / confusion: 72.88% / [[284, 51, 19], [66, 171, 33], [17, 31, 128]], * Val accuracy / confusion: 56.92% / [[149, 59, 22], [49, 96, 30], [15, 49, 51]] ------------------------------ Epoch 600 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883780 - Iter 024 / 025, Loss: 0.539026 * Train accuracy / confusion: 71.25% / [[295, 52, 9], [84, 166, 17], [17, 51, 109]], * Val accuracy / confusion: 55.38% / [[149, 61, 20], [60, 85, 30], [20, 41, 54]] ------------------------------ Epoch 601 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.683788 - Iter 024 / 025, Loss: 1.025969 * Train accuracy / confusion: 70.75% / [[287, 46, 25], [73, 156, 41], [19, 30, 123]], * Val accuracy / confusion: 56.54% / [[150, 60, 20], [59, 81, 35], [21, 31, 63]] ------------------------------ Epoch 602 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704138 - Iter 024 / 025, Loss: 0.703133 * Train accuracy / confusion: 72.25% / [[283, 57, 14], [61, 165, 40], [14, 36, 130]], * Val accuracy / confusion: 56.92% / [[154, 52, 24], [61, 80, 34], [17, 36, 62]] ------------------------------ Epoch 603 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707775 - Iter 024 / 025, Loss: 0.644342 * Train accuracy / confusion: 72.88% / [[293, 48, 14], [72, 161, 37], [10, 36, 129]], * Val accuracy / confusion: 57.31% / [[156, 54, 20], [53, 81, 41], [16, 38, 61]] ------------------------------ Epoch 604 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574744 - Iter 024 / 025, Loss: 0.529503 * Train accuracy / confusion: 72.88% / [[293, 54, 11], [75, 165, 26], [17, 34, 125]], * Val accuracy / confusion: 55.96% / [[151, 55, 24], [60, 90, 25], [15, 50, 50]] ------------------------------ Epoch 605 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625529 - Iter 024 / 025, Loss: 0.834342 * Train accuracy / confusion: 72.62% / [[296, 47, 15], [68, 165, 38], [13, 38, 120]], * Val accuracy / confusion: 59.62% / [[162, 59, 9], [60, 88, 27], [16, 39, 60]] ------------------------------ Epoch 606 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.576748 - Iter 024 / 025, Loss: 0.722029 * Train accuracy / confusion: 71.88% / [[287, 65, 5], [64, 167, 34], [15, 42, 121]], * Val accuracy / confusion: 54.81% / [[150, 63, 17], [63, 82, 30], [22, 40, 53]] ------------------------------ Epoch 607 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515423 - Iter 024 / 025, Loss: 0.587939 * Train accuracy / confusion: 73.12% / [[292, 49, 14], [74, 168, 25], [20, 33, 125]], * Val accuracy / confusion: 56.54% / [[159, 51, 20], [72, 78, 25], [17, 41, 57]] ------------------------------ Epoch 608 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625502 - Iter 024 / 025, Loss: 0.723429 * Train accuracy / confusion: 73.12% / [[296, 47, 16], [71, 170, 25], [15, 41, 119]], * Val accuracy / confusion: 55.96% / [[140, 67, 23], [51, 95, 29], [17, 42, 56]] ------------------------------ Epoch 609 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707518 - Iter 024 / 025, Loss: 0.556602 * Train accuracy / confusion: 72.50% / [[296, 59, 6], [68, 172, 24], [18, 45, 112]], * Val accuracy / confusion: 56.73% / [[156, 51, 23], [68, 85, 22], [17, 44, 54]] ------------------------------ Epoch 610 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634684 - Iter 024 / 025, Loss: 0.443821 * Train accuracy / confusion: 71.88% / [[304, 47, 7], [73, 159, 37], [17, 44, 112]], * Val accuracy / confusion: 55.77% / [[152, 61, 17], [64, 89, 22], [23, 43, 49]] ------------------------------ Epoch 611 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.673117 - Iter 024 / 025, Loss: 0.653889 * Train accuracy / confusion: 73.75% / [[294, 49, 14], [71, 170, 26], [18, 32, 126]], * Val accuracy / confusion: 58.65% / [[155, 54, 21], [59, 93, 23], [18, 40, 57]] ------------------------------ Epoch 612 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.533180 - Iter 024 / 025, Loss: 0.456563 * Train accuracy / confusion: 72.88% / [[298, 48, 13], [77, 167, 20], [19, 40, 118]], * Val accuracy / confusion: 58.08% / [[149, 61, 20], [62, 98, 15], [14, 46, 55]] ------------------------------ Epoch 613 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.833739 - Iter 024 / 025, Loss: 0.630274 * Train accuracy / confusion: 71.75% / [[300, 45, 12], [79, 158, 28], [14, 48, 116]], * Val accuracy / confusion: 55.77% / [[159, 57, 14], [62, 86, 27], [22, 48, 45]] ------------------------------ Epoch 614 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591841 - Iter 024 / 025, Loss: 0.464933 * Train accuracy / confusion: 70.62% / [[295, 48, 13], [70, 165, 32], [23, 49, 105]], * Val accuracy / confusion: 57.50% / [[158, 58, 14], [60, 92, 23], [20, 46, 49]] ------------------------------ Epoch 615 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656404 - Iter 024 / 025, Loss: 0.733094 * Train accuracy / confusion: 71.12% / [[284, 59, 12], [72, 173, 25], [17, 46, 112]], * Val accuracy / confusion: 56.35% / [[149, 64, 17], [67, 89, 19], [21, 39, 55]] ------------------------------ Epoch 616 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573735 - Iter 024 / 025, Loss: 0.562691 * Train accuracy / confusion: 72.62% / [[296, 44, 13], [78, 160, 30], [17, 37, 125]], * Val accuracy / confusion: 59.81% / [[167, 47, 16], [63, 92, 20], [23, 40, 52]] ------------------------------ Epoch 617 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.840422 - Iter 024 / 025, Loss: 0.654088 * Train accuracy / confusion: 73.00% / [[288, 56, 15], [64, 174, 28], [14, 39, 122]], * Val accuracy / confusion: 58.46% / [[154, 60, 16], [59, 92, 24], [12, 45, 58]] ------------------------------ Epoch 618 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736890 - Iter 024 / 025, Loss: 0.735592 * Train accuracy / confusion: 72.38% / [[291, 52, 11], [70, 172, 27], [16, 45, 116]], * Val accuracy / confusion: 59.42% / [[154, 61, 15], [55, 99, 21], [19, 40, 56]] ------------------------------ Epoch 619 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412611 - Iter 024 / 025, Loss: 0.445432 * Train accuracy / confusion: 72.00% / [[290, 58, 9], [77, 169, 24], [18, 38, 117]], * Val accuracy / confusion: 58.65% / [[156, 56, 18], [58, 94, 23], [18, 42, 55]] ------------------------------ Epoch 620 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535811 - Iter 024 / 025, Loss: 0.670892 * Train accuracy / confusion: 74.12% / [[293, 47, 13], [66, 180, 26], [17, 38, 120]], * Val accuracy / confusion: 57.88% / [[166, 46, 18], [72, 83, 20], [16, 47, 52]] ------------------------------ Epoch 621 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722400 - Iter 024 / 025, Loss: 0.574512 * Train accuracy / confusion: 71.88% / [[286, 58, 12], [68, 171, 26], [16, 45, 118]], * Val accuracy / confusion: 55.96% / [[157, 53, 20], [68, 81, 26], [17, 45, 53]] ------------------------------ Epoch 622 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.581670 - Iter 024 / 025, Loss: 0.733090 * Train accuracy / confusion: 74.38% / [[295, 53, 12], [65, 171, 30], [12, 33, 129]], * Val accuracy / confusion: 57.50% / [[165, 51, 14], [69, 84, 22], [18, 47, 50]] ------------------------------ Epoch 623 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.602591 - Iter 024 / 025, Loss: 0.877333 * Train accuracy / confusion: 73.25% / [[299, 48, 8], [75, 167, 27], [12, 44, 120]], * Val accuracy / confusion: 56.35% / [[162, 49, 19], [68, 80, 27], [19, 45, 51]] ------------------------------ Epoch 624 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553307 - Iter 024 / 025, Loss: 0.496317 * Train accuracy / confusion: 73.50% / [[297, 58, 9], [65, 167, 29], [11, 40, 124]], * Val accuracy / confusion: 52.88% / [[142, 68, 20], [70, 82, 23], [15, 49, 51]] ------------------------------ Epoch 625 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608920 - Iter 024 / 025, Loss: 0.390576 * Train accuracy / confusion: 73.12% / [[294, 47, 13], [69, 169, 30], [18, 38, 122]], * Val accuracy / confusion: 58.85% / [[150, 60, 20], [56, 100, 19], [16, 43, 56]] ------------------------------ Epoch 626 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644789 - Iter 024 / 025, Loss: 0.699610 * Train accuracy / confusion: 73.00% / [[290, 52, 11], [69, 177, 23], [25, 36, 117]], * Val accuracy / confusion: 56.54% / [[152, 61, 17], [63, 88, 24], [14, 47, 54]] ------------------------------ Epoch 627 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612035 - Iter 024 / 025, Loss: 0.473409 * Train accuracy / confusion: 73.38% / [[300, 45, 9], [71, 170, 27], [18, 43, 117]], * Val accuracy / confusion: 56.15% / [[151, 62, 17], [69, 87, 19], [24, 37, 54]] ------------------------------ Epoch 628 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.457740 - Iter 024 / 025, Loss: 0.471509 * Train accuracy / confusion: 73.25% / [[295, 52, 9], [79, 167, 20], [16, 38, 124]], * Val accuracy / confusion: 56.15% / [[160, 54, 16], [67, 81, 27], [22, 42, 51]] ------------------------------ Epoch 629 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.765964 - Iter 024 / 025, Loss: 0.612010 * Train accuracy / confusion: 73.75% / [[302, 45, 9], [72, 161, 35], [16, 33, 127]], * Val accuracy / confusion: 56.73% / [[163, 56, 11], [64, 84, 27], [23, 44, 48]] ------------------------------ Epoch 630 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528204 - Iter 024 / 025, Loss: 0.464452 * Train accuracy / confusion: 74.88% / [[307, 41, 9], [65, 165, 38], [11, 37, 127]], * Val accuracy / confusion: 56.15% / [[161, 52, 17], [78, 75, 22], [16, 43, 56]] ------------------------------ Epoch 631 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587415 - Iter 024 / 025, Loss: 0.461799 * Train accuracy / confusion: 72.00% / [[294, 51, 11], [76, 160, 29], [19, 38, 122]], * Val accuracy / confusion: 57.12% / [[165, 47, 18], [69, 84, 22], [20, 47, 48]] ------------------------------ Epoch 632 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614002 - Iter 024 / 025, Loss: 0.492296 * Train accuracy / confusion: 74.00% / [[292, 53, 11], [70, 173, 24], [15, 35, 127]], * Val accuracy / confusion: 57.31% / [[164, 50, 16], [72, 76, 27], [17, 40, 58]] ------------------------------ Epoch 633 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532832 - Iter 024 / 025, Loss: 0.467949 * Train accuracy / confusion: 73.88% / [[289, 52, 12], [70, 171, 28], [9, 38, 131]], * Val accuracy / confusion: 61.35% / [[159, 51, 20], [59, 102, 14], [17, 40, 58]] ------------------------------ Epoch 634 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482474 - Iter 024 / 025, Loss: 0.472079 * Train accuracy / confusion: 75.25% / [[293, 51, 11], [61, 182, 23], [17, 35, 127]], * Val accuracy / confusion: 56.15% / [[152, 61, 17], [57, 85, 33], [13, 47, 55]] ------------------------------ Epoch 635 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.697981 - Iter 024 / 025, Loss: 0.705300 * Train accuracy / confusion: 73.12% / [[292, 51, 12], [70, 173, 26], [21, 35, 120]], * Val accuracy / confusion: 57.12% / [[157, 54, 19], [70, 87, 18], [23, 39, 53]] ------------------------------ Epoch 636 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.689402 - Iter 024 / 025, Loss: 0.415070 * Train accuracy / confusion: 72.38% / [[297, 48, 12], [71, 166, 30], [15, 45, 116]], * Val accuracy / confusion: 57.69% / [[158, 51, 21], [64, 88, 23], [18, 43, 54]] ------------------------------ Epoch 637 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729800 - Iter 024 / 025, Loss: 0.722370 * Train accuracy / confusion: 71.50% / [[291, 50, 15], [77, 164, 28], [18, 40, 117]], * Val accuracy / confusion: 55.38% / [[155, 52, 23], [70, 78, 27], [18, 42, 55]] ------------------------------ Epoch 638 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.438914 - Iter 024 / 025, Loss: 0.496503 * Train accuracy / confusion: 73.38% / [[294, 54, 10], [77, 168, 21], [14, 37, 125]], * Val accuracy / confusion: 60.19% / [[160, 56, 14], [60, 94, 21], [20, 36, 59]] ------------------------------ Epoch 639 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620049 - Iter 024 / 025, Loss: 0.539879 * Train accuracy / confusion: 72.88% / [[291, 57, 6], [72, 169, 28], [18, 36, 123]], * Val accuracy / confusion: 56.35% / [[159, 54, 17], [65, 84, 26], [18, 47, 50]] ------------------------------ Epoch 640 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.499676 - Iter 024 / 025, Loss: 0.600960 * Train accuracy / confusion: 74.12% / [[298, 51, 8], [70, 171, 28], [11, 39, 124]], * Val accuracy / confusion: 56.92% / [[155, 53, 22], [59, 87, 29], [20, 41, 54]] ------------------------------ Epoch 641 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515688 - Iter 024 / 025, Loss: 0.576796 * Train accuracy / confusion: 73.38% / [[288, 56, 11], [70, 172, 29], [16, 31, 127]], * Val accuracy / confusion: 56.73% / [[157, 57, 16], [64, 85, 26], [19, 43, 53]] ------------------------------ Epoch 642 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.760458 - Iter 024 / 025, Loss: 0.985190 * Train accuracy / confusion: 72.00% / [[299, 46, 11], [73, 161, 34], [19, 41, 116]], * Val accuracy / confusion: 57.88% / [[162, 53, 15], [64, 89, 22], [20, 45, 50]] ------------------------------ Epoch 643 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.487488 - Iter 024 / 025, Loss: 0.763174 * Train accuracy / confusion: 73.00% / [[294, 49, 14], [73, 165, 28], [13, 39, 125]], * Val accuracy / confusion: 58.46% / [[160, 54, 16], [64, 92, 19], [17, 46, 52]] ------------------------------ Epoch 644 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.791547 - Iter 024 / 025, Loss: 0.706599 * Train accuracy / confusion: 72.50% / [[299, 53, 6], [73, 168, 27], [20, 41, 113]], * Val accuracy / confusion: 58.46% / [[160, 49, 21], [66, 87, 22], [13, 45, 57]] ------------------------------ Epoch 645 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753068 - Iter 024 / 025, Loss: 0.637723 * Train accuracy / confusion: 74.25% / [[294, 51, 10], [61, 181, 29], [18, 37, 119]], * Val accuracy / confusion: 58.27% / [[159, 56, 15], [61, 92, 22], [13, 50, 52]] ------------------------------ Epoch 646 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415738 - Iter 024 / 025, Loss: 0.639530 * Train accuracy / confusion: 75.62% / [[300, 41, 14], [68, 184, 21], [17, 34, 121]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [59, 88, 28], [11, 54, 50]] ------------------------------ Epoch 647 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468234 - Iter 024 / 025, Loss: 0.444653 * Train accuracy / confusion: 74.88% / [[297, 50, 10], [71, 176, 24], [9, 37, 126]], * Val accuracy / confusion: 57.12% / [[161, 51, 18], [73, 85, 17], [19, 45, 51]] ------------------------------ Epoch 648 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.705608 - Iter 024 / 025, Loss: 0.692506 * Train accuracy / confusion: 73.00% / [[300, 47, 11], [83, 164, 20], [16, 39, 120]], * Val accuracy / confusion: 59.23% / [[172, 44, 14], [65, 85, 25], [17, 47, 51]] ------------------------------ Epoch 649 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.365627 - Iter 024 / 025, Loss: 0.668507 * Train accuracy / confusion: 74.25% / [[296, 49, 10], [68, 179, 25], [20, 34, 119]], * Val accuracy / confusion: 56.73% / [[162, 45, 23], [61, 79, 35], [25, 36, 54]] ------------------------------ Epoch 650 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.475529 - Iter 024 / 025, Loss: 0.555890 * Train accuracy / confusion: 76.12% / [[299, 46, 9], [67, 179, 23], [12, 34, 131]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [66, 85, 24], [15, 46, 54]] ------------------------------ Epoch 651 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.821442 - Iter 024 / 025, Loss: 0.625627 * Train accuracy / confusion: 74.62% / [[297, 49, 10], [67, 172, 29], [17, 31, 128]], * Val accuracy / confusion: 59.62% / [[165, 44, 21], [59, 89, 27], [18, 41, 56]] ------------------------------ Epoch 652 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.640472 - Iter 024 / 025, Loss: 0.552847 * Train accuracy / confusion: 74.62% / [[295, 41, 18], [65, 176, 29], [15, 35, 126]], * Val accuracy / confusion: 55.38% / [[153, 54, 23], [68, 82, 25], [19, 43, 53]] ------------------------------ Epoch 653 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668925 - Iter 024 / 025, Loss: 0.611295 * Train accuracy / confusion: 72.88% / [[292, 52, 7], [72, 175, 25], [20, 41, 116]], * Val accuracy / confusion: 55.96% / [[154, 61, 15], [64, 87, 24], [19, 46, 50]] ------------------------------ Epoch 654 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444480 - Iter 024 / 025, Loss: 0.594183 * Train accuracy / confusion: 71.62% / [[278, 67, 11], [72, 170, 24], [18, 35, 125]], * Val accuracy / confusion: 55.19% / [[149, 70, 11], [68, 86, 21], [20, 43, 52]] ------------------------------ Epoch 655 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717337 - Iter 024 / 025, Loss: 0.492723 * Train accuracy / confusion: 73.38% / [[290, 50, 15], [67, 176, 28], [18, 35, 121]], * Val accuracy / confusion: 55.58% / [[144, 69, 17], [53, 90, 32], [14, 46, 55]] ------------------------------ Epoch 656 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453125 - Iter 024 / 025, Loss: 0.558141 * Train accuracy / confusion: 72.38% / [[289, 54, 16], [70, 171, 23], [16, 42, 119]], * Val accuracy / confusion: 57.31% / [[153, 63, 14], [52, 94, 29], [20, 44, 51]] ------------------------------ Epoch 657 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.772784 - Iter 024 / 025, Loss: 0.557362 * Train accuracy / confusion: 73.25% / [[299, 41, 18], [78, 167, 19], [20, 38, 120]], * Val accuracy / confusion: 59.62% / [[154, 59, 17], [60, 99, 16], [17, 41, 57]] ------------------------------ Epoch 658 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.654846 - Iter 024 / 025, Loss: 0.627754 * Train accuracy / confusion: 72.38% / [[297, 47, 15], [71, 163, 32], [17, 39, 119]], * Val accuracy / confusion: 58.27% / [[168, 49, 13], [63, 83, 29], [17, 46, 52]] ------------------------------ Epoch 659 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809900 - Iter 024 / 025, Loss: 0.857403 * Train accuracy / confusion: 73.62% / [[301, 42, 12], [75, 165, 29], [13, 40, 123]], * Val accuracy / confusion: 57.88% / [[167, 54, 9], [73, 84, 18], [19, 46, 50]] ------------------------------ Epoch 660 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486883 - Iter 024 / 025, Loss: 0.437323 * Train accuracy / confusion: 73.88% / [[294, 55, 10], [75, 166, 20], [19, 30, 131]], * Val accuracy / confusion: 58.46% / [[165, 50, 15], [68, 87, 20], [20, 43, 52]] ------------------------------ Epoch 661 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.715716 - Iter 024 / 025, Loss: 0.488604 * Train accuracy / confusion: 72.50% / [[294, 54, 14], [79, 164, 26], [15, 32, 122]], * Val accuracy / confusion: 56.92% / [[157, 56, 17], [65, 91, 19], [13, 54, 48]] ------------------------------ Epoch 662 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652113 - Iter 024 / 025, Loss: 0.552356 * Train accuracy / confusion: 75.38% / [[299, 44, 12], [71, 181, 17], [19, 34, 123]], * Val accuracy / confusion: 56.15% / [[165, 50, 15], [71, 76, 28], [21, 43, 51]] ------------------------------ Epoch 663 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470070 - Iter 024 / 025, Loss: 0.484732 * Train accuracy / confusion: 71.88% / [[300, 51, 10], [83, 158, 24], [18, 39, 117]], * Val accuracy / confusion: 58.27% / [[163, 57, 10], [69, 92, 14], [15, 52, 48]] ------------------------------ Epoch 664 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424395 - Iter 024 / 025, Loss: 0.529326 * Train accuracy / confusion: 74.75% / [[299, 47, 11], [71, 172, 22], [13, 38, 127]], * Val accuracy / confusion: 60.00% / [[155, 57, 18], [54, 96, 25], [18, 36, 61]] ------------------------------ Epoch 665 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584546 - Iter 024 / 025, Loss: 0.557509 * Train accuracy / confusion: 76.25% / [[300, 50, 11], [55, 188, 19], [15, 40, 122]], * Val accuracy / confusion: 57.31% / [[156, 53, 21], [60, 87, 28], [17, 43, 55]] ------------------------------ Epoch 666 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.560645 - Iter 024 / 025, Loss: 0.685842 * Train accuracy / confusion: 72.00% / [[295, 51, 15], [82, 157, 24], [19, 33, 124]], * Val accuracy / confusion: 55.19% / [[152, 54, 24], [61, 82, 32], [15, 47, 53]] ------------------------------ Epoch 667 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.439396 - Iter 024 / 025, Loss: 0.819451 * Train accuracy / confusion: 71.62% / [[289, 52, 15], [73, 166, 27], [14, 46, 118]], * Val accuracy / confusion: 57.50% / [[152, 56, 22], [64, 84, 27], [16, 36, 63]] ------------------------------ Epoch 668 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.636520 - Iter 024 / 025, Loss: 0.668069 * Train accuracy / confusion: 74.00% / [[292, 46, 17], [80, 168, 22], [15, 28, 132]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [59, 82, 34], [19, 36, 60]] ------------------------------ Epoch 669 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588461 - Iter 024 / 025, Loss: 0.462072 * Train accuracy / confusion: 73.50% / [[296, 47, 15], [75, 171, 25], [12, 38, 121]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [60, 94, 21], [14, 45, 56]] ------------------------------ Epoch 670 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.542136 - Iter 024 / 025, Loss: 0.521755 * Train accuracy / confusion: 74.25% / [[299, 49, 9], [62, 175, 31], [16, 39, 120]], * Val accuracy / confusion: 59.04% / [[169, 48, 13], [57, 92, 26], [18, 51, 46]] ------------------------------ Epoch 671 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777852 - Iter 024 / 025, Loss: 0.688746 * Train accuracy / confusion: 72.25% / [[289, 55, 14], [74, 168, 28], [17, 34, 121]], * Val accuracy / confusion: 57.88% / [[167, 46, 17], [66, 82, 27], [18, 45, 52]] ------------------------------ Epoch 672 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.669760 - Iter 024 / 025, Loss: 0.669058 * Train accuracy / confusion: 74.50% / [[301, 44, 12], [71, 174, 24], [12, 41, 121]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [68, 86, 21], [16, 46, 53]] ------------------------------ Epoch 673 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585367 - Iter 024 / 025, Loss: 0.343961 * Train accuracy / confusion: 74.50% / [[294, 52, 8], [69, 175, 25], [20, 30, 127]], * Val accuracy / confusion: 58.46% / [[155, 60, 15], [62, 96, 17], [21, 41, 53]] ------------------------------ Epoch 674 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442605 - Iter 024 / 025, Loss: 0.677405 * Train accuracy / confusion: 72.50% / [[284, 61, 11], [70, 171, 30], [16, 32, 125]], * Val accuracy / confusion: 59.04% / [[159, 59, 12], [62, 91, 22], [19, 39, 57]] ------------------------------ Epoch 675 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707462 - Iter 024 / 025, Loss: 0.486536 * Train accuracy / confusion: 75.25% / [[309, 42, 8], [67, 174, 24], [21, 36, 119]], * Val accuracy / confusion: 55.58% / [[155, 55, 20], [63, 85, 27], [16, 50, 49]] ------------------------------ Epoch 676 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476290 - Iter 024 / 025, Loss: 0.409853 * Train accuracy / confusion: 73.00% / [[298, 45, 13], [75, 160, 32], [17, 34, 126]], * Val accuracy / confusion: 55.38% / [[160, 64, 6], [70, 80, 25], [21, 46, 48]] ------------------------------ Epoch 677 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690789 - Iter 024 / 025, Loss: 0.612671 * Train accuracy / confusion: 71.88% / [[290, 58, 10], [68, 168, 30], [18, 41, 117]], * Val accuracy / confusion: 54.81% / [[150, 64, 16], [62, 84, 29], [16, 48, 51]] ------------------------------ Epoch 678 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644177 - Iter 024 / 025, Loss: 0.486171 * Train accuracy / confusion: 75.00% / [[295, 49, 11], [66, 176, 23], [16, 35, 129]], * Val accuracy / confusion: 58.08% / [[162, 49, 19], [62, 83, 30], [20, 38, 57]] ------------------------------ Epoch 679 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575862 - Iter 024 / 025, Loss: 0.763607 * Train accuracy / confusion: 71.50% / [[294, 53, 15], [71, 161, 34], [14, 41, 117]], * Val accuracy / confusion: 56.73% / [[146, 67, 17], [61, 92, 22], [11, 47, 57]] ------------------------------ Epoch 680 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.795676 - Iter 024 / 025, Loss: 0.404330 * Train accuracy / confusion: 73.88% / [[283, 55, 16], [63, 179, 26], [17, 32, 129]], * Val accuracy / confusion: 58.08% / [[162, 57, 11], [74, 84, 17], [15, 44, 56]] ------------------------------ Epoch 681 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668210 - Iter 024 / 025, Loss: 0.575105 * Train accuracy / confusion: 73.12% / [[302, 50, 6], [72, 160, 32], [17, 38, 123]], * Val accuracy / confusion: 56.92% / [[158, 58, 14], [56, 83, 36], [18, 42, 55]] ------------------------------ Epoch 682 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582462 - Iter 024 / 025, Loss: 0.601351 * Train accuracy / confusion: 74.75% / [[300, 44, 11], [65, 180, 27], [17, 38, 118]], * Val accuracy / confusion: 56.54% / [[162, 52, 16], [69, 82, 24], [21, 44, 50]] ------------------------------ Epoch 683 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729912 - Iter 024 / 025, Loss: 0.423994 * Train accuracy / confusion: 75.38% / [[295, 54, 11], [59, 178, 28], [14, 31, 130]], * Val accuracy / confusion: 57.31% / [[162, 49, 19], [67, 77, 31], [19, 37, 59]] ------------------------------ Epoch 684 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.615221 - Iter 024 / 025, Loss: 0.530117 * Train accuracy / confusion: 73.62% / [[298, 53, 10], [70, 165, 30], [11, 37, 126]], * Val accuracy / confusion: 54.62% / [[148, 63, 19], [64, 79, 32], [17, 41, 57]] ------------------------------ Epoch 685 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.507417 - Iter 024 / 025, Loss: 0.627374 * Train accuracy / confusion: 73.12% / [[292, 49, 13], [66, 170, 33], [16, 38, 123]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [58, 92, 25], [13, 45, 57]] ------------------------------ Epoch 686 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.436050 - Iter 024 / 025, Loss: 0.438720 * Train accuracy / confusion: 74.75% / [[298, 44, 11], [72, 171, 26], [16, 33, 129]], * Val accuracy / confusion: 59.04% / [[160, 60, 10], [54, 93, 28], [17, 44, 54]] ------------------------------ Epoch 687 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.700044 - Iter 024 / 025, Loss: 0.456240 * Train accuracy / confusion: 74.00% / [[294, 52, 12], [66, 186, 18], [17, 43, 112]], * Val accuracy / confusion: 58.65% / [[148, 67, 15], [57, 94, 24], [14, 38, 63]] ------------------------------ Epoch 688 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652962 - Iter 024 / 025, Loss: 0.691310 * Train accuracy / confusion: 74.62% / [[296, 47, 14], [60, 176, 31], [9, 42, 125]], * Val accuracy / confusion: 58.85% / [[160, 56, 14], [51, 98, 26], [17, 50, 48]] ------------------------------ Epoch 689 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575941 - Iter 024 / 025, Loss: 0.766788 * Train accuracy / confusion: 75.50% / [[300, 47, 11], [59, 180, 28], [18, 33, 124]], * Val accuracy / confusion: 58.85% / [[169, 43, 18], [78, 81, 16], [17, 42, 56]] ------------------------------ Epoch 690 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.569876 - Iter 024 / 025, Loss: 0.618639 * Train accuracy / confusion: 74.38% / [[301, 49, 9], [71, 170, 25], [16, 35, 124]], * Val accuracy / confusion: 55.19% / [[154, 51, 25], [62, 88, 25], [23, 47, 45]] ------------------------------ Epoch 691 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562252 - Iter 024 / 025, Loss: 0.492541 * Train accuracy / confusion: 73.12% / [[294, 49, 14], [75, 171, 21], [17, 39, 120]], * Val accuracy / confusion: 57.88% / [[162, 54, 14], [63, 89, 23], [20, 45, 50]] ------------------------------ Epoch 692 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730653 - Iter 024 / 025, Loss: 0.618575 * Train accuracy / confusion: 72.25% / [[295, 54, 9], [69, 171, 25], [22, 43, 112]], * Val accuracy / confusion: 57.88% / [[162, 56, 12], [67, 86, 22], [20, 42, 53]] ------------------------------ Epoch 693 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.696133 - Iter 024 / 025, Loss: 0.613660 * Train accuracy / confusion: 73.25% / [[296, 46, 12], [84, 170, 15], [18, 39, 120]], * Val accuracy / confusion: 57.12% / [[148, 67, 15], [57, 86, 32], [16, 36, 63]] ------------------------------ Epoch 694 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.445213 - Iter 024 / 025, Loss: 0.518501 * Train accuracy / confusion: 75.62% / [[300, 42, 13], [61, 179, 27], [16, 36, 126]], * Val accuracy / confusion: 57.12% / [[152, 60, 18], [61, 86, 28], [12, 44, 59]] ------------------------------ Epoch 695 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.401455 - Iter 024 / 025, Loss: 0.780143 * Train accuracy / confusion: 75.38% / [[298, 46, 11], [64, 180, 24], [18, 34, 125]], * Val accuracy / confusion: 57.12% / [[152, 60, 18], [68, 90, 17], [17, 43, 55]] ------------------------------ Epoch 696 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604217 - Iter 024 / 025, Loss: 0.530414 * Train accuracy / confusion: 73.50% / [[284, 59, 7], [76, 178, 19], [14, 37, 126]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [52, 90, 33], [14, 42, 59]] ------------------------------ Epoch 697 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.517266 - Iter 024 / 025, Loss: 0.435874 * Train accuracy / confusion: 73.88% / [[293, 50, 12], [67, 171, 29], [15, 36, 127]], * Val accuracy / confusion: 56.73% / [[166, 50, 14], [71, 81, 23], [25, 42, 48]] ------------------------------ Epoch 698 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600992 - Iter 024 / 025, Loss: 0.596905 * Train accuracy / confusion: 69.38% / [[285, 63, 16], [74, 154, 37], [18, 37, 116]], * Val accuracy / confusion: 57.12% / [[156, 53, 21], [65, 87, 23], [13, 48, 54]] ------------------------------ Epoch 699 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.529144 - Iter 024 / 025, Loss: 0.430775 * Train accuracy / confusion: 75.00% / [[310, 45, 7], [76, 165, 20], [12, 40, 125]], * Val accuracy / confusion: 55.96% / [[152, 58, 20], [56, 89, 30], [15, 50, 50]] ------------------------------ Epoch 700 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486807 - Iter 024 / 025, Loss: 0.809529 * Train accuracy / confusion: 72.88% / [[303, 40, 12], [76, 167, 27], [13, 49, 113]], * Val accuracy / confusion: 58.08% / [[158, 57, 15], [63, 95, 17], [22, 44, 49]] ------------------------------ Epoch 701 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.694064 - Iter 024 / 025, Loss: 0.613808 * Train accuracy / confusion: 74.88% / [[307, 40, 8], [67, 171, 29], [15, 42, 121]], * Val accuracy / confusion: 59.81% / [[167, 46, 17], [64, 91, 20], [16, 46, 53]] ------------------------------ Epoch 702 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631577 - Iter 024 / 025, Loss: 0.793272 * Train accuracy / confusion: 73.00% / [[295, 53, 9], [70, 164, 34], [17, 33, 125]], * Val accuracy / confusion: 58.46% / [[156, 55, 19], [56, 87, 32], [18, 36, 61]] ------------------------------ Epoch 703 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.789943 - Iter 024 / 025, Loss: 0.742561 * Train accuracy / confusion: 71.38% / [[297, 49, 11], [81, 160, 28], [8, 52, 114]], * Val accuracy / confusion: 57.12% / [[166, 53, 11], [73, 84, 18], [20, 48, 47]] ------------------------------ Epoch 704 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764145 - Iter 024 / 025, Loss: 0.540722 * Train accuracy / confusion: 74.75% / [[301, 45, 13], [63, 182, 24], [10, 47, 115]], * Val accuracy / confusion: 57.50% / [[155, 60, 15], [56, 87, 32], [20, 38, 57]] ------------------------------ Epoch 705 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613588 - Iter 024 / 025, Loss: 0.603574 * Train accuracy / confusion: 75.25% / [[303, 46, 5], [66, 174, 27], [16, 38, 125]], * Val accuracy / confusion: 57.31% / [[156, 56, 18], [57, 88, 30], [16, 45, 54]] ------------------------------ Epoch 706 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.749460 - Iter 024 / 025, Loss: 0.621502 * Train accuracy / confusion: 72.25% / [[290, 51, 13], [71, 174, 25], [14, 48, 114]], * Val accuracy / confusion: 58.08% / [[157, 58, 15], [62, 89, 24], [16, 43, 56]] ------------------------------ Epoch 707 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.410180 - Iter 024 / 025, Loss: 0.504217 * Train accuracy / confusion: 76.12% / [[292, 56, 10], [65, 182, 18], [10, 32, 135]], * Val accuracy / confusion: 57.88% / [[161, 50, 19], [65, 88, 22], [14, 49, 52]] ------------------------------ Epoch 708 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783374 - Iter 024 / 025, Loss: 0.631924 * Train accuracy / confusion: 74.25% / [[296, 49, 7], [65, 180, 25], [25, 35, 118]], * Val accuracy / confusion: 55.96% / [[158, 57, 15], [58, 91, 26], [18, 55, 42]] ------------------------------ Epoch 709 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626525 - Iter 024 / 025, Loss: 0.665541 * Train accuracy / confusion: 73.00% / [[287, 57, 11], [68, 176, 28], [15, 37, 121]], * Val accuracy / confusion: 57.12% / [[161, 55, 14], [61, 83, 31], [18, 44, 53]] ------------------------------ Epoch 710 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.660794 - Iter 024 / 025, Loss: 0.485900 * Train accuracy / confusion: 76.12% / [[304, 48, 6], [65, 179, 22], [8, 42, 126]], * Val accuracy / confusion: 57.88% / [[156, 59, 15], [62, 91, 22], [15, 46, 54]] ------------------------------ Epoch 711 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.525860 - Iter 024 / 025, Loss: 0.551390 * Train accuracy / confusion: 74.25% / [[297, 52, 9], [61, 175, 31], [14, 39, 122]], * Val accuracy / confusion: 55.77% / [[155, 57, 18], [62, 80, 33], [17, 43, 55]] ------------------------------ Epoch 712 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712082 - Iter 024 / 025, Loss: 0.665901 * Train accuracy / confusion: 73.12% / [[296, 51, 9], [81, 167, 25], [13, 36, 122]], * Val accuracy / confusion: 59.42% / [[155, 55, 20], [60, 94, 21], [16, 39, 60]] ------------------------------ Epoch 713 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557927 - Iter 024 / 025, Loss: 0.677360 * Train accuracy / confusion: 71.00% / [[300, 52, 11], [83, 150, 30], [17, 39, 118]], * Val accuracy / confusion: 58.46% / [[162, 54, 14], [60, 94, 21], [19, 48, 48]] ------------------------------ Epoch 714 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687688 - Iter 024 / 025, Loss: 0.546738 * Train accuracy / confusion: 75.62% / [[298, 42, 15], [67, 178, 23], [16, 32, 129]], * Val accuracy / confusion: 57.69% / [[163, 51, 16], [62, 87, 26], [15, 50, 50]] ------------------------------ Epoch 715 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631584 - Iter 024 / 025, Loss: 0.516215 * Train accuracy / confusion: 75.25% / [[302, 54, 5], [60, 178, 27], [12, 40, 122]], * Val accuracy / confusion: 55.19% / [[154, 54, 22], [57, 80, 38], [18, 44, 53]] ------------------------------ Epoch 716 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.710680 - Iter 024 / 025, Loss: 0.476235 * Train accuracy / confusion: 74.12% / [[296, 47, 12], [73, 173, 26], [14, 35, 124]], * Val accuracy / confusion: 55.38% / [[151, 60, 19], [64, 85, 26], [20, 43, 52]] ------------------------------ Epoch 717 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555106 - Iter 024 / 025, Loss: 0.783847 * Train accuracy / confusion: 73.62% / [[292, 52, 11], [75, 172, 22], [11, 40, 125]], * Val accuracy / confusion: 56.92% / [[157, 55, 18], [67, 88, 20], [20, 44, 51]] ------------------------------ Epoch 718 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589077 - Iter 024 / 025, Loss: 0.693641 * Train accuracy / confusion: 74.50% / [[299, 51, 7], [64, 178, 24], [14, 44, 119]], * Val accuracy / confusion: 55.77% / [[152, 60, 18], [58, 89, 28], [17, 49, 49]] ------------------------------ Epoch 719 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.520892 - Iter 024 / 025, Loss: 0.724942 * Train accuracy / confusion: 75.62% / [[295, 48, 14], [67, 180, 24], [12, 30, 130]], * Val accuracy / confusion: 57.31% / [[158, 57, 15], [61, 89, 25], [17, 47, 51]] ------------------------------ Epoch 720 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.452696 - Iter 024 / 025, Loss: 0.911979 * Train accuracy / confusion: 73.38% / [[296, 42, 14], [67, 172, 31], [12, 47, 119]], * Val accuracy / confusion: 57.88% / [[165, 54, 11], [62, 82, 31], [15, 46, 54]] ------------------------------ Epoch 721 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469457 - Iter 024 / 025, Loss: 0.483425 * Train accuracy / confusion: 72.62% / [[289, 51, 11], [71, 172, 29], [12, 45, 120]], * Val accuracy / confusion: 59.23% / [[151, 60, 19], [53, 99, 23], [21, 36, 58]] ------------------------------ Epoch 722 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735291 - Iter 024 / 025, Loss: 0.486374 * Train accuracy / confusion: 74.00% / [[292, 54, 10], [61, 178, 29], [14, 40, 122]], * Val accuracy / confusion: 56.54% / [[160, 57, 13], [65, 85, 25], [19, 47, 49]] ------------------------------ Epoch 723 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.461553 - Iter 024 / 025, Loss: 0.437092 * Train accuracy / confusion: 76.25% / [[302, 48, 7], [62, 181, 25], [12, 36, 127]], * Val accuracy / confusion: 58.65% / [[150, 63, 17], [57, 93, 25], [16, 37, 62]] ------------------------------ Epoch 724 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460126 - Iter 024 / 025, Loss: 0.987817 * Train accuracy / confusion: 72.88% / [[295, 48, 12], [72, 172, 22], [19, 44, 116]], * Val accuracy / confusion: 57.12% / [[166, 49, 15], [77, 78, 20], [22, 40, 53]] ------------------------------ Epoch 725 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.354066 - Iter 024 / 025, Loss: 0.606507 * Train accuracy / confusion: 73.38% / [[300, 46, 8], [72, 161, 38], [12, 37, 126]], * Val accuracy / confusion: 58.85% / [[166, 46, 18], [69, 88, 18], [17, 46, 52]] ------------------------------ Epoch 726 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590504 - Iter 024 / 025, Loss: 0.485795 * Train accuracy / confusion: 73.00% / [[289, 59, 12], [70, 169, 29], [12, 34, 126]], * Val accuracy / confusion: 56.92% / [[157, 53, 20], [61, 89, 25], [22, 43, 50]] ------------------------------ Epoch 727 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558146 - Iter 024 / 025, Loss: 0.708848 * Train accuracy / confusion: 77.75% / [[308, 45, 8], [64, 183, 17], [9, 35, 131]], * Val accuracy / confusion: 55.58% / [[157, 59, 14], [62, 85, 28], [17, 51, 47]] ------------------------------ Epoch 728 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531273 - Iter 024 / 025, Loss: 0.525488 * Train accuracy / confusion: 71.62% / [[291, 60, 10], [78, 171, 15], [14, 50, 111]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [59, 88, 28], [19, 39, 57]] ------------------------------ Epoch 729 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631727 - Iter 024 / 025, Loss: 0.755344 * Train accuracy / confusion: 76.38% / [[300, 42, 10], [55, 187, 29], [14, 39, 124]], * Val accuracy / confusion: 55.00% / [[149, 66, 15], [64, 85, 26], [24, 39, 52]] ------------------------------ Epoch 730 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699519 - Iter 024 / 025, Loss: 0.530647 * Train accuracy / confusion: 74.00% / [[280, 63, 10], [62, 188, 21], [15, 37, 124]], * Val accuracy / confusion: 55.77% / [[153, 59, 18], [60, 88, 27], [16, 50, 49]] ------------------------------ Epoch 731 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734705 - Iter 024 / 025, Loss: 0.597269 * Train accuracy / confusion: 73.75% / [[290, 59, 10], [71, 170, 26], [16, 28, 130]], * Val accuracy / confusion: 56.54% / [[150, 58, 22], [51, 86, 38], [11, 46, 58]] ------------------------------ Epoch 732 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768879 - Iter 024 / 025, Loss: 0.599989 * Train accuracy / confusion: 74.25% / [[293, 53, 5], [79, 169, 22], [10, 37, 132]], * Val accuracy / confusion: 55.38% / [[153, 63, 14], [66, 90, 19], [19, 51, 45]] ------------------------------ Epoch 733 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.389618 - Iter 024 / 025, Loss: 0.807918 * Train accuracy / confusion: 75.38% / [[299, 48, 10], [64, 176, 27], [14, 34, 128]], * Val accuracy / confusion: 59.23% / [[157, 61, 12], [65, 84, 26], [17, 31, 67]] ------------------------------ Epoch 734 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519621 - Iter 024 / 025, Loss: 0.672577 * Train accuracy / confusion: 74.38% / [[289, 49, 12], [62, 179, 32], [14, 36, 127]], * Val accuracy / confusion: 56.35% / [[163, 55, 12], [68, 81, 26], [15, 51, 49]] ------------------------------ Epoch 735 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411133 - Iter 024 / 025, Loss: 0.854077 * Train accuracy / confusion: 72.75% / [[291, 51, 11], [71, 172, 24], [14, 47, 119]], * Val accuracy / confusion: 54.62% / [[155, 56, 19], [72, 79, 24], [19, 46, 50]] ------------------------------ Epoch 736 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511323 - Iter 024 / 025, Loss: 0.644446 * Train accuracy / confusion: 75.75% / [[305, 40, 9], [63, 175, 30], [14, 38, 126]], * Val accuracy / confusion: 56.35% / [[160, 54, 16], [66, 83, 26], [20, 45, 50]] ------------------------------ Epoch 737 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758765 - Iter 024 / 025, Loss: 0.600713 * Train accuracy / confusion: 76.25% / [[304, 40, 8], [64, 177, 28], [14, 36, 129]], * Val accuracy / confusion: 56.15% / [[156, 59, 15], [61, 80, 34], [16, 43, 56]] ------------------------------ Epoch 738 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639195 - Iter 024 / 025, Loss: 0.554083 * Train accuracy / confusion: 72.88% / [[289, 58, 9], [73, 164, 28], [9, 40, 130]], * Val accuracy / confusion: 57.31% / [[162, 53, 15], [61, 89, 25], [18, 50, 47]] ------------------------------ Epoch 739 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622241 - Iter 024 / 025, Loss: 0.571776 * Train accuracy / confusion: 75.75% / [[293, 47, 11], [61, 185, 26], [10, 39, 128]], * Val accuracy / confusion: 56.15% / [[142, 63, 25], [61, 95, 19], [21, 39, 55]] ------------------------------ Epoch 740 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531811 - Iter 024 / 025, Loss: 0.560800 * Train accuracy / confusion: 74.75% / [[296, 52, 13], [58, 181, 24], [13, 42, 121]], * Val accuracy / confusion: 57.50% / [[160, 51, 19], [65, 84, 26], [15, 45, 55]] ------------------------------ Epoch 741 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.541608 - Iter 024 / 025, Loss: 0.590104 * Train accuracy / confusion: 75.00% / [[296, 47, 13], [65, 184, 20], [12, 43, 120]], * Val accuracy / confusion: 57.31% / [[163, 49, 18], [62, 88, 25], [19, 49, 47]] ------------------------------ Epoch 742 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600035 - Iter 024 / 025, Loss: 0.646411 * Train accuracy / confusion: 76.50% / [[301, 50, 8], [64, 179, 22], [12, 32, 132]], * Val accuracy / confusion: 55.19% / [[160, 59, 11], [66, 76, 33], [22, 42, 51]] ------------------------------ Epoch 743 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.432941 - Iter 024 / 025, Loss: 0.462934 * Train accuracy / confusion: 74.88% / [[304, 43, 10], [66, 166, 31], [17, 34, 129]], * Val accuracy / confusion: 59.62% / [[166, 48, 16], [50, 95, 30], [19, 47, 49]] ------------------------------ Epoch 744 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518820 - Iter 024 / 025, Loss: 0.615389 * Train accuracy / confusion: 76.50% / [[317, 41, 4], [70, 167, 29], [13, 31, 128]], * Val accuracy / confusion: 57.12% / [[165, 48, 17], [72, 83, 20], [19, 47, 49]] ------------------------------ Epoch 745 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.617489 - Iter 024 / 025, Loss: 0.665178 * Train accuracy / confusion: 73.00% / [[297, 42, 14], [83, 165, 24], [15, 38, 122]], * Val accuracy / confusion: 58.65% / [[158, 58, 14], [58, 94, 23], [16, 46, 53]] ------------------------------ Epoch 746 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753263 - Iter 024 / 025, Loss: 0.468660 * Train accuracy / confusion: 73.88% / [[294, 55, 9], [69, 176, 23], [19, 34, 121]], * Val accuracy / confusion: 58.46% / [[161, 52, 17], [57, 93, 25], [13, 52, 50]] ------------------------------ Epoch 747 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.821117 - Iter 024 / 025, Loss: 0.665726 * Train accuracy / confusion: 72.25% / [[290, 57, 10], [76, 163, 24], [14, 41, 125]], * Val accuracy / confusion: 57.12% / [[154, 51, 25], [60, 87, 28], [13, 46, 56]] ------------------------------ Epoch 748 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532482 - Iter 024 / 025, Loss: 0.955247 * Train accuracy / confusion: 75.50% / [[303, 40, 10], [64, 177, 29], [11, 42, 124]], * Val accuracy / confusion: 60.58% / [[167, 47, 16], [59, 90, 26], [15, 42, 58]] ------------------------------ Epoch 749 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556258 - Iter 024 / 025, Loss: 0.572946 * Train accuracy / confusion: 74.75% / [[299, 41, 14], [70, 175, 25], [16, 36, 124]], * Val accuracy / confusion: 58.27% / [[161, 53, 16], [59, 92, 24], [19, 46, 50]] ------------------------------ Epoch 750 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.474408 - Iter 024 / 025, Loss: 0.466923 * Train accuracy / confusion: 74.25% / [[296, 52, 7], [73, 168, 24], [17, 33, 130]], * Val accuracy / confusion: 56.35% / [[156, 62, 12], [68, 89, 18], [20, 47, 48]] ------------------------------ Epoch 751 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441799 - Iter 024 / 025, Loss: 0.446769 * Train accuracy / confusion: 71.38% / [[284, 60, 16], [73, 167, 24], [10, 46, 120]], * Val accuracy / confusion: 57.31% / [[155, 58, 17], [59, 89, 27], [14, 47, 54]] ------------------------------ Epoch 752 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897874 - Iter 024 / 025, Loss: 0.594188 * Train accuracy / confusion: 73.50% / [[295, 50, 11], [75, 160, 30], [12, 34, 133]], * Val accuracy / confusion: 58.27% / [[161, 57, 12], [63, 86, 26], [19, 40, 56]] ------------------------------ Epoch 753 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.715094 - Iter 024 / 025, Loss: 0.558832 * Train accuracy / confusion: 72.12% / [[293, 52, 14], [73, 164, 31], [12, 41, 120]], * Val accuracy / confusion: 58.65% / [[162, 49, 19], [53, 94, 28], [14, 52, 49]] ------------------------------ Epoch 754 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676996 - Iter 024 / 025, Loss: 0.805426 * Train accuracy / confusion: 76.25% / [[293, 46, 18], [56, 190, 19], [16, 35, 127]], * Val accuracy / confusion: 58.08% / [[158, 58, 14], [67, 86, 22], [15, 42, 58]] ------------------------------ Epoch 755 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.727830 - Iter 024 / 025, Loss: 0.547721 * Train accuracy / confusion: 74.88% / [[298, 50, 10], [65, 172, 25], [14, 37, 129]], * Val accuracy / confusion: 60.00% / [[171, 54, 5], [65, 90, 20], [19, 45, 51]] ------------------------------ Epoch 756 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666277 - Iter 024 / 025, Loss: 0.481239 * Train accuracy / confusion: 77.12% / [[312, 36, 14], [61, 180, 21], [11, 40, 125]], * Val accuracy / confusion: 58.27% / [[156, 58, 16], [63, 95, 17], [16, 47, 52]] ------------------------------ Epoch 757 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585667 - Iter 024 / 025, Loss: 0.489043 * Train accuracy / confusion: 72.88% / [[293, 47, 18], [75, 160, 28], [12, 37, 130]], * Val accuracy / confusion: 58.46% / [[153, 63, 14], [51, 95, 29], [16, 43, 56]] ------------------------------ Epoch 758 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585525 - Iter 024 / 025, Loss: 0.582409 * Train accuracy / confusion: 73.12% / [[292, 51, 11], [66, 168, 37], [16, 34, 125]], * Val accuracy / confusion: 59.23% / [[167, 48, 15], [66, 84, 25], [21, 37, 57]] ------------------------------ Epoch 759 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606968 - Iter 024 / 025, Loss: 0.620819 * Train accuracy / confusion: 74.25% / [[295, 49, 9], [71, 174, 27], [9, 41, 125]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [61, 89, 25], [14, 43, 58]] ------------------------------ Epoch 760 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582932 - Iter 024 / 025, Loss: 0.875791 * Train accuracy / confusion: 74.00% / [[297, 54, 7], [66, 177, 22], [15, 44, 118]], * Val accuracy / confusion: 58.46% / [[155, 57, 18], [63, 92, 20], [16, 42, 57]] ------------------------------ Epoch 761 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570828 - Iter 024 / 025, Loss: 0.494452 * Train accuracy / confusion: 74.62% / [[303, 49, 6], [72, 170, 21], [13, 42, 124]], * Val accuracy / confusion: 57.31% / [[153, 59, 18], [60, 93, 22], [18, 45, 52]] ------------------------------ Epoch 762 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841439 - Iter 024 / 025, Loss: 0.500748 * Train accuracy / confusion: 73.75% / [[292, 55, 10], [70, 175, 23], [14, 38, 123]], * Val accuracy / confusion: 59.42% / [[161, 60, 9], [64, 96, 15], [19, 44, 52]] ------------------------------ Epoch 763 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587440 - Iter 024 / 025, Loss: 0.634989 * Train accuracy / confusion: 72.12% / [[287, 51, 18], [75, 172, 23], [12, 44, 118]], * Val accuracy / confusion: 56.54% / [[152, 63, 15], [62, 86, 27], [14, 45, 56]] ------------------------------ Epoch 764 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.537613 - Iter 024 / 025, Loss: 0.833761 * Train accuracy / confusion: 74.50% / [[294, 49, 12], [79, 178, 14], [10, 40, 124]], * Val accuracy / confusion: 60.58% / [[168, 53, 9], [60, 96, 19], [14, 50, 51]] ------------------------------ Epoch 765 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528615 - Iter 024 / 025, Loss: 0.430099 * Train accuracy / confusion: 73.25% / [[294, 53, 8], [78, 164, 27], [11, 37, 128]], * Val accuracy / confusion: 54.23% / [[144, 71, 15], [57, 87, 31], [18, 46, 51]] ------------------------------ Epoch 766 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495056 - Iter 024 / 025, Loss: 0.585388 * Train accuracy / confusion: 74.25% / [[304, 43, 11], [77, 159, 28], [17, 30, 131]], * Val accuracy / confusion: 57.12% / [[159, 57, 14], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 767 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.498917 - Iter 024 / 025, Loss: 0.591261 * Train accuracy / confusion: 74.00% / [[306, 46, 7], [69, 167, 29], [12, 45, 119]], * Val accuracy / confusion: 55.96% / [[160, 55, 15], [65, 79, 31], [19, 44, 52]] ------------------------------ Epoch 768 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649426 - Iter 024 / 025, Loss: 0.631532 * Train accuracy / confusion: 74.50% / [[291, 57, 10], [66, 175, 26], [11, 34, 130]], * Val accuracy / confusion: 57.69% / [[158, 59, 13], [59, 84, 32], [17, 40, 58]] ------------------------------ Epoch 769 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709306 - Iter 024 / 025, Loss: 0.605387 * Train accuracy / confusion: 74.75% / [[303, 48, 8], [73, 167, 24], [13, 36, 128]], * Val accuracy / confusion: 59.23% / [[159, 57, 14], [69, 91, 15], [14, 43, 58]] ------------------------------ Epoch 770 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500216 - Iter 024 / 025, Loss: 0.501281 * Train accuracy / confusion: 77.00% / [[293, 48, 12], [62, 189, 19], [15, 28, 134]], * Val accuracy / confusion: 60.00% / [[157, 55, 18], [58, 99, 18], [10, 49, 56]] ------------------------------ Epoch 771 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483420 - Iter 024 / 025, Loss: 0.401436 * Train accuracy / confusion: 73.62% / [[301, 53, 4], [78, 162, 24], [16, 36, 126]], * Val accuracy / confusion: 56.73% / [[160, 53, 17], [70, 72, 33], [19, 33, 63]] ------------------------------ Epoch 772 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621630 - Iter 024 / 025, Loss: 0.572072 * Train accuracy / confusion: 75.38% / [[299, 41, 14], [71, 179, 24], [10, 37, 125]], * Val accuracy / confusion: 58.08% / [[163, 51, 16], [59, 84, 32], [19, 41, 55]] ------------------------------ Epoch 773 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565752 - Iter 024 / 025, Loss: 0.629474 * Train accuracy / confusion: 75.00% / [[305, 39, 14], [62, 171, 33], [16, 36, 124]], * Val accuracy / confusion: 59.23% / [[159, 59, 12], [58, 93, 24], [15, 44, 56]] ------------------------------ Epoch 774 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621113 - Iter 024 / 025, Loss: 0.636750 * Train accuracy / confusion: 74.25% / [[299, 46, 9], [64, 173, 33], [15, 39, 122]], * Val accuracy / confusion: 57.31% / [[162, 54, 14], [68, 81, 26], [18, 42, 55]] ------------------------------ Epoch 775 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633646 - Iter 024 / 025, Loss: 0.707375 * Train accuracy / confusion: 72.38% / [[286, 57, 6], [83, 168, 21], [15, 39, 125]], * Val accuracy / confusion: 56.15% / [[149, 67, 14], [53, 94, 28], [18, 48, 49]] ------------------------------ Epoch 776 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.427259 - Iter 024 / 025, Loss: 0.618557 * Train accuracy / confusion: 75.38% / [[294, 47, 15], [71, 180, 20], [13, 31, 129]], * Val accuracy / confusion: 59.42% / [[166, 49, 15], [62, 88, 25], [17, 43, 55]] ------------------------------ Epoch 777 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584991 - Iter 024 / 025, Loss: 0.520703 * Train accuracy / confusion: 74.12% / [[294, 48, 15], [61, 182, 24], [18, 41, 117]], * Val accuracy / confusion: 57.50% / [[153, 64, 13], [57, 90, 28], [15, 44, 56]] ------------------------------ Epoch 778 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.480055 - Iter 024 / 025, Loss: 0.689510 * Train accuracy / confusion: 77.00% / [[305, 41, 8], [54, 182, 30], [12, 39, 129]], * Val accuracy / confusion: 59.42% / [[158, 53, 19], [56, 96, 23], [16, 44, 55]] ------------------------------ Epoch 779 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.664303 - Iter 024 / 025, Loss: 0.578319 * Train accuracy / confusion: 74.38% / [[301, 52, 4], [69, 170, 30], [14, 36, 124]], * Val accuracy / confusion: 55.77% / [[162, 47, 21], [73, 74, 28], [18, 43, 54]] ------------------------------ Epoch 780 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446764 - Iter 024 / 025, Loss: 0.555847 * Train accuracy / confusion: 74.00% / [[300, 45, 13], [69, 173, 25], [10, 46, 119]], * Val accuracy / confusion: 58.85% / [[154, 55, 21], [53, 97, 25], [15, 45, 55]] ------------------------------ Epoch 781 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548015 - Iter 024 / 025, Loss: 0.478530 * Train accuracy / confusion: 76.62% / [[302, 50, 5], [65, 183, 20], [12, 35, 128]], * Val accuracy / confusion: 56.92% / [[152, 53, 25], [61, 82, 32], [13, 40, 62]] ------------------------------ Epoch 782 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691284 - Iter 024 / 025, Loss: 0.576259 * Train accuracy / confusion: 74.12% / [[300, 46, 14], [58, 179, 29], [16, 44, 114]], * Val accuracy / confusion: 57.50% / [[156, 55, 19], [58, 94, 23], [20, 46, 49]] ------------------------------ Epoch 783 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.756489 - Iter 024 / 025, Loss: 0.478287 * Train accuracy / confusion: 75.38% / [[304, 44, 11], [72, 167, 24], [9, 37, 132]], * Val accuracy / confusion: 58.85% / [[158, 58, 14], [63, 87, 25], [13, 41, 61]] ------------------------------ Epoch 784 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.499752 - Iter 024 / 025, Loss: 0.433261 * Train accuracy / confusion: 74.38% / [[293, 58, 10], [70, 171, 28], [14, 25, 131]], * Val accuracy / confusion: 57.88% / [[154, 53, 23], [59, 83, 33], [14, 37, 64]] ------------------------------ Epoch 785 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.718861 - Iter 024 / 025, Loss: 0.447961 * Train accuracy / confusion: 73.50% / [[297, 54, 8], [71, 171, 26], [17, 36, 120]], * Val accuracy / confusion: 56.73% / [[157, 57, 16], [58, 88, 29], [20, 45, 50]] ------------------------------ Epoch 786 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596431 - Iter 024 / 025, Loss: 0.747492 * Train accuracy / confusion: 74.88% / [[290, 55, 11], [62, 181, 24], [14, 35, 128]], * Val accuracy / confusion: 56.35% / [[161, 51, 18], [65, 80, 30], [18, 45, 52]] ------------------------------ Epoch 787 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447237 - Iter 024 / 025, Loss: 0.398298 * Train accuracy / confusion: 75.38% / [[307, 42, 10], [65, 167, 31], [12, 37, 129]], * Val accuracy / confusion: 59.42% / [[166, 52, 12], [56, 87, 32], [16, 43, 56]] ------------------------------ Epoch 788 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.381835 - Iter 024 / 025, Loss: 0.504718 * Train accuracy / confusion: 75.75% / [[296, 48, 8], [63, 183, 25], [14, 36, 127]], * Val accuracy / confusion: 56.35% / [[147, 66, 17], [69, 89, 17], [18, 40, 57]] ------------------------------ Epoch 789 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540815 - Iter 024 / 025, Loss: 0.768832 * Train accuracy / confusion: 76.62% / [[303, 42, 10], [64, 181, 25], [10, 36, 129]], * Val accuracy / confusion: 57.12% / [[159, 55, 16], [60, 86, 29], [15, 48, 52]] ------------------------------ Epoch 790 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.503573 - Iter 024 / 025, Loss: 0.473730 * Train accuracy / confusion: 74.00% / [[296, 46, 12], [75, 171, 25], [15, 35, 125]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [67, 80, 28], [19, 48, 48]] ------------------------------ Epoch 791 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.473379 - Iter 024 / 025, Loss: 0.509839 * Train accuracy / confusion: 75.00% / [[294, 50, 12], [66, 179, 21], [16, 35, 127]], * Val accuracy / confusion: 57.50% / [[158, 53, 19], [59, 95, 21], [18, 51, 46]] ------------------------------ Epoch 792 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518573 - Iter 024 / 025, Loss: 0.362498 * Train accuracy / confusion: 75.88% / [[296, 52, 12], [58, 182, 23], [16, 32, 129]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [64, 85, 26], [14, 47, 54]] ------------------------------ Epoch 793 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672090 - Iter 024 / 025, Loss: 0.633864 * Train accuracy / confusion: 73.38% / [[298, 49, 7], [69, 171, 27], [18, 43, 118]], * Val accuracy / confusion: 58.65% / [[174, 43, 13], [70, 75, 30], [21, 38, 56]] ------------------------------ Epoch 794 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.350202 - Iter 024 / 025, Loss: 0.456996 * Train accuracy / confusion: 74.75% / [[296, 50, 12], [73, 167, 27], [10, 30, 135]], * Val accuracy / confusion: 55.58% / [[151, 48, 31], [61, 81, 33], [20, 38, 57]] ------------------------------ Epoch 795 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.801579 - Iter 024 / 025, Loss: 0.673543 * Train accuracy / confusion: 74.75% / [[295, 48, 15], [68, 175, 25], [11, 35, 128]], * Val accuracy / confusion: 57.31% / [[151, 62, 17], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 796 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649912 - Iter 024 / 025, Loss: 0.769458 * Train accuracy / confusion: 76.62% / [[307, 41, 9], [62, 181, 27], [13, 35, 125]], * Val accuracy / confusion: 57.50% / [[167, 49, 14], [71, 78, 26], [17, 44, 54]] ------------------------------ Epoch 797 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592601 - Iter 024 / 025, Loss: 0.620850 * Train accuracy / confusion: 77.00% / [[306, 44, 11], [61, 172, 29], [12, 27, 138]], * Val accuracy / confusion: 57.88% / [[165, 55, 10], [78, 82, 15], [22, 39, 54]] ------------------------------ Epoch 798 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.578333 - Iter 024 / 025, Loss: 0.456380 * Train accuracy / confusion: 75.50% / [[307, 40, 16], [68, 171, 23], [11, 38, 126]], * Val accuracy / confusion: 60.00% / [[164, 51, 15], [61, 97, 17], [15, 49, 51]] ------------------------------ Epoch 799 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.775921 - Iter 024 / 025, Loss: 0.535606 * Train accuracy / confusion: 74.38% / [[289, 52, 14], [69, 175, 23], [15, 32, 131]], * Val accuracy / confusion: 59.81% / [[166, 49, 15], [65, 88, 22], [23, 35, 57]] ------------------------------ Epoch 800 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.713626 - Iter 024 / 025, Loss: 0.487252 * Train accuracy / confusion: 72.88% / [[293, 45, 15], [75, 163, 31], [13, 38, 127]], * Val accuracy / confusion: 59.42% / [[169, 52, 9], [64, 87, 24], [19, 43, 53]] ------------------------------ Epoch 801 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559639 - Iter 024 / 025, Loss: 0.570062 * Train accuracy / confusion: 73.75% / [[290, 50, 15], [70, 181, 20], [13, 42, 119]], * Val accuracy / confusion: 57.69% / [[155, 59, 16], [58, 93, 24], [13, 50, 52]] ------------------------------ Epoch 802 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532514 - Iter 024 / 025, Loss: 0.575492 * Train accuracy / confusion: 73.88% / [[304, 46, 7], [70, 163, 32], [12, 42, 124]], * Val accuracy / confusion: 57.12% / [[149, 59, 22], [59, 86, 30], [13, 40, 62]] ------------------------------ Epoch 803 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553538 - Iter 024 / 025, Loss: 0.500375 * Train accuracy / confusion: 74.75% / [[295, 51, 11], [67, 171, 27], [9, 37, 132]], * Val accuracy / confusion: 55.77% / [[161, 48, 21], [67, 69, 39], [19, 36, 60]] ------------------------------ Epoch 804 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495790 - Iter 024 / 025, Loss: 0.314630 * Train accuracy / confusion: 73.62% / [[285, 60, 13], [64, 178, 24], [16, 34, 126]], * Val accuracy / confusion: 59.81% / [[167, 50, 13], [64, 89, 22], [22, 38, 55]] ------------------------------ Epoch 805 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440249 - Iter 024 / 025, Loss: 0.818673 * Train accuracy / confusion: 74.38% / [[295, 52, 12], [64, 170, 30], [13, 34, 130]], * Val accuracy / confusion: 58.65% / [[160, 54, 16], [55, 93, 27], [20, 43, 52]] ------------------------------ Epoch 806 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424855 - Iter 024 / 025, Loss: 0.469080 * Train accuracy / confusion: 75.50% / [[300, 49, 6], [72, 170, 24], [15, 30, 134]], * Val accuracy / confusion: 57.12% / [[164, 52, 14], [67, 80, 28], [16, 46, 53]] ------------------------------ Epoch 807 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707417 - Iter 024 / 025, Loss: 0.574116 * Train accuracy / confusion: 76.50% / [[306, 43, 7], [67, 181, 24], [17, 30, 125]], * Val accuracy / confusion: 58.27% / [[166, 50, 14], [67, 84, 24], [19, 43, 53]] ------------------------------ Epoch 808 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.682201 - Iter 024 / 025, Loss: 0.494109 * Train accuracy / confusion: 75.38% / [[296, 52, 10], [62, 172, 31], [12, 30, 135]], * Val accuracy / confusion: 57.69% / [[162, 51, 17], [73, 88, 14], [24, 41, 50]] ------------------------------ Epoch 809 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.638647 - Iter 024 / 025, Loss: 0.859523 * Train accuracy / confusion: 74.75% / [[297, 53, 10], [76, 170, 18], [12, 33, 131]], * Val accuracy / confusion: 56.73% / [[159, 53, 18], [70, 80, 25], [17, 42, 56]] ------------------------------ Epoch 810 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618903 - Iter 024 / 025, Loss: 0.595940 * Train accuracy / confusion: 74.75% / [[301, 46, 13], [67, 172, 28], [14, 34, 125]], * Val accuracy / confusion: 58.65% / [[157, 53, 20], [63, 90, 22], [16, 41, 58]] ------------------------------ Epoch 811 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624660 - Iter 024 / 025, Loss: 0.597381 * Train accuracy / confusion: 74.50% / [[302, 46, 8], [80, 158, 26], [8, 36, 136]], * Val accuracy / confusion: 57.50% / [[160, 52, 18], [56, 86, 33], [14, 48, 53]] ------------------------------ Epoch 812 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668042 - Iter 024 / 025, Loss: 0.480999 * Train accuracy / confusion: 72.62% / [[298, 47, 15], [75, 156, 33], [15, 34, 127]], * Val accuracy / confusion: 60.38% / [[160, 57, 13], [54, 98, 23], [17, 42, 56]] ------------------------------ Epoch 813 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783280 - Iter 024 / 025, Loss: 0.489745 * Train accuracy / confusion: 75.88% / [[306, 40, 9], [60, 179, 29], [11, 44, 122]], * Val accuracy / confusion: 57.69% / [[154, 59, 17], [59, 87, 29], [15, 41, 59]] ------------------------------ Epoch 814 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428889 - Iter 024 / 025, Loss: 0.537359 * Train accuracy / confusion: 75.38% / [[295, 46, 14], [59, 181, 26], [7, 45, 127]], * Val accuracy / confusion: 58.08% / [[164, 50, 16], [72, 83, 20], [18, 42, 55]] ------------------------------ Epoch 815 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.497339 - Iter 024 / 025, Loss: 0.947322 * Train accuracy / confusion: 74.50% / [[296, 47, 13], [68, 173, 26], [14, 36, 127]], * Val accuracy / confusion: 59.81% / [[164, 50, 16], [68, 90, 17], [13, 45, 57]] ------------------------------ Epoch 816 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.619818 - Iter 024 / 025, Loss: 0.495875 * Train accuracy / confusion: 74.50% / [[295, 49, 12], [74, 172, 22], [14, 33, 129]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [64, 79, 32], [15, 34, 66]] ------------------------------ Epoch 817 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600769 - Iter 024 / 025, Loss: 0.592412 * Train accuracy / confusion: 76.12% / [[306, 43, 8], [62, 175, 27], [20, 31, 128]], * Val accuracy / confusion: 57.31% / [[159, 58, 13], [72, 83, 20], [22, 37, 56]] ------------------------------ Epoch 818 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588051 - Iter 024 / 025, Loss: 0.666166 * Train accuracy / confusion: 74.25% / [[303, 52, 5], [61, 169, 33], [11, 44, 122]], * Val accuracy / confusion: 56.54% / [[163, 50, 17], [70, 84, 21], [20, 48, 47]] ------------------------------ Epoch 819 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509570 - Iter 024 / 025, Loss: 0.856145 * Train accuracy / confusion: 73.38% / [[305, 42, 8], [71, 168, 30], [18, 44, 114]], * Val accuracy / confusion: 57.31% / [[167, 47, 16], [77, 71, 27], [20, 35, 60]] ------------------------------ Epoch 820 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590659 - Iter 024 / 025, Loss: 0.695529 * Train accuracy / confusion: 77.12% / [[303, 42, 12], [66, 179, 21], [12, 30, 135]], * Val accuracy / confusion: 58.46% / [[163, 52, 15], [63, 79, 33], [15, 38, 62]] ------------------------------ Epoch 821 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936301 - Iter 024 / 025, Loss: 0.669739 * Train accuracy / confusion: 76.00% / [[300, 42, 14], [57, 176, 32], [10, 37, 132]], * Val accuracy / confusion: 56.92% / [[151, 60, 19], [58, 84, 33], [19, 35, 61]] ------------------------------ Epoch 822 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453538 - Iter 024 / 025, Loss: 0.782771 * Train accuracy / confusion: 76.88% / [[304, 36, 17], [67, 188, 15], [14, 36, 123]], * Val accuracy / confusion: 56.92% / [[166, 52, 12], [69, 78, 28], [21, 42, 52]] ------------------------------ Epoch 823 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443383 - Iter 024 / 025, Loss: 0.482565 * Train accuracy / confusion: 73.75% / [[290, 52, 15], [74, 174, 21], [11, 37, 126]], * Val accuracy / confusion: 54.62% / [[156, 53, 21], [69, 82, 24], [19, 50, 46]] ------------------------------ Epoch 824 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579103 - Iter 024 / 025, Loss: 0.364195 * Train accuracy / confusion: 75.38% / [[305, 38, 10], [73, 178, 21], [18, 37, 120]], * Val accuracy / confusion: 56.92% / [[161, 49, 20], [72, 86, 17], [22, 44, 49]] ------------------------------ Epoch 825 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600931 - Iter 024 / 025, Loss: 0.629514 * Train accuracy / confusion: 75.75% / [[294, 43, 18], [64, 181, 23], [12, 34, 131]], * Val accuracy / confusion: 58.65% / [[160, 55, 15], [62, 96, 17], [13, 53, 49]] ------------------------------ Epoch 826 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667519 - Iter 024 / 025, Loss: 0.524992 * Train accuracy / confusion: 75.75% / [[298, 47, 12], [64, 177, 25], [13, 33, 131]], * Val accuracy / confusion: 56.92% / [[157, 61, 12], [58, 91, 26], [18, 49, 48]] ------------------------------ Epoch 827 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712991 - Iter 024 / 025, Loss: 0.497307 * Train accuracy / confusion: 72.88% / [[296, 52, 11], [74, 166, 29], [13, 38, 121]], * Val accuracy / confusion: 58.65% / [[161, 52, 17], [56, 94, 25], [17, 48, 50]] ------------------------------ Epoch 828 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527484 - Iter 024 / 025, Loss: 0.649063 * Train accuracy / confusion: 72.50% / [[287, 52, 14], [73, 170, 25], [17, 39, 123]], * Val accuracy / confusion: 58.85% / [[158, 56, 16], [58, 89, 28], [15, 41, 59]] ------------------------------ Epoch 829 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.513746 - Iter 024 / 025, Loss: 0.466886 * Train accuracy / confusion: 76.38% / [[303, 44, 8], [62, 173, 33], [7, 35, 135]], * Val accuracy / confusion: 59.04% / [[165, 49, 16], [66, 83, 26], [14, 42, 59]] ------------------------------ Epoch 830 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.503305 - Iter 024 / 025, Loss: 0.547307 * Train accuracy / confusion: 76.00% / [[302, 48, 8], [61, 178, 29], [17, 29, 128]], * Val accuracy / confusion: 57.12% / [[161, 53, 16], [70, 84, 21], [23, 40, 52]] ------------------------------ Epoch 831 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.512885 - Iter 024 / 025, Loss: 0.654040 * Train accuracy / confusion: 75.25% / [[302, 52, 4], [65, 180, 22], [10, 45, 120]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [58, 101, 16], [20, 46, 49]] ------------------------------ Epoch 832 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557494 - Iter 024 / 025, Loss: 0.401083 * Train accuracy / confusion: 74.75% / [[291, 53, 12], [69, 176, 24], [15, 29, 131]], * Val accuracy / confusion: 56.54% / [[159, 58, 13], [71, 84, 20], [21, 43, 51]] ------------------------------ Epoch 833 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622265 - Iter 024 / 025, Loss: 0.394443 * Train accuracy / confusion: 74.62% / [[293, 49, 16], [65, 179, 22], [13, 38, 125]], * Val accuracy / confusion: 58.65% / [[162, 52, 16], [66, 85, 24], [17, 40, 58]] ------------------------------ Epoch 834 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.492759 - Iter 024 / 025, Loss: 0.409168 * Train accuracy / confusion: 77.25% / [[300, 49, 7], [68, 180, 19], [13, 26, 138]], * Val accuracy / confusion: 56.92% / [[151, 57, 22], [64, 91, 20], [23, 38, 54]] ------------------------------ Epoch 835 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.654216 - Iter 024 / 025, Loss: 0.464247 * Train accuracy / confusion: 73.12% / [[289, 53, 12], [70, 172, 28], [11, 41, 124]], * Val accuracy / confusion: 57.88% / [[155, 63, 12], [60, 95, 20], [21, 43, 51]] ------------------------------ Epoch 836 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.471923 - Iter 024 / 025, Loss: 0.532467 * Train accuracy / confusion: 72.12% / [[298, 49, 11], [72, 160, 35], [19, 37, 119]], * Val accuracy / confusion: 59.42% / [[165, 49, 16], [60, 91, 24], [17, 45, 53]] ------------------------------ Epoch 837 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778814 - Iter 024 / 025, Loss: 0.810218 * Train accuracy / confusion: 74.75% / [[299, 52, 10], [59, 180, 30], [18, 33, 119]], * Val accuracy / confusion: 57.50% / [[161, 55, 14], [65, 82, 28], [17, 42, 56]] ------------------------------ Epoch 838 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.747455 - Iter 024 / 025, Loss: 0.746029 * Train accuracy / confusion: 72.75% / [[290, 53, 13], [62, 168, 35], [18, 37, 124]], * Val accuracy / confusion: 58.08% / [[155, 58, 17], [64, 94, 17], [20, 42, 53]] ------------------------------ Epoch 839 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570971 - Iter 024 / 025, Loss: 0.645603 * Train accuracy / confusion: 74.25% / [[289, 49, 20], [66, 180, 21], [17, 33, 125]], * Val accuracy / confusion: 59.04% / [[164, 49, 17], [63, 93, 19], [18, 47, 50]] ------------------------------ Epoch 840 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621406 - Iter 024 / 025, Loss: 0.916138 * Train accuracy / confusion: 75.88% / [[302, 42, 14], [66, 181, 22], [15, 34, 124]], * Val accuracy / confusion: 59.62% / [[157, 54, 19], [54, 96, 25], [16, 42, 57]] ------------------------------ Epoch 841 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614335 - Iter 024 / 025, Loss: 0.706106 * Train accuracy / confusion: 74.12% / [[291, 61, 6], [69, 170, 28], [14, 29, 132]], * Val accuracy / confusion: 56.73% / [[153, 62, 15], [71, 80, 24], [15, 38, 62]] ------------------------------ Epoch 842 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688451 - Iter 024 / 025, Loss: 0.749680 * Train accuracy / confusion: 76.12% / [[307, 39, 9], [72, 173, 24], [12, 35, 129]], * Val accuracy / confusion: 59.23% / [[156, 59, 15], [65, 95, 15], [21, 37, 57]] ------------------------------ Epoch 843 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783724 - Iter 024 / 025, Loss: 0.783266 * Train accuracy / confusion: 74.88% / [[298, 47, 13], [71, 174, 21], [14, 35, 127]], * Val accuracy / confusion: 59.23% / [[160, 53, 17], [62, 89, 24], [15, 41, 59]] ------------------------------ Epoch 844 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.564573 - Iter 024 / 025, Loss: 0.770001 * Train accuracy / confusion: 75.62% / [[296, 48, 10], [59, 181, 29], [13, 36, 128]], * Val accuracy / confusion: 55.96% / [[155, 59, 16], [69, 82, 24], [21, 40, 54]] ------------------------------ Epoch 845 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585916 - Iter 024 / 025, Loss: 0.560267 * Train accuracy / confusion: 77.12% / [[311, 31, 10], [72, 178, 24], [13, 33, 128]], * Val accuracy / confusion: 56.35% / [[151, 58, 21], [61, 90, 24], [17, 46, 52]] ------------------------------ Epoch 846 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.537302 - Iter 024 / 025, Loss: 0.653044 * Train accuracy / confusion: 73.62% / [[297, 48, 10], [77, 160, 29], [10, 37, 132]], * Val accuracy / confusion: 60.38% / [[154, 62, 14], [55, 109, 11], [16, 48, 51]] ------------------------------ Epoch 847 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554048 - Iter 024 / 025, Loss: 0.568747 * Train accuracy / confusion: 73.12% / [[287, 60, 10], [69, 177, 21], [13, 42, 121]], * Val accuracy / confusion: 56.35% / [[147, 66, 17], [64, 93, 18], [20, 42, 53]] ------------------------------ Epoch 848 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712435 - Iter 024 / 025, Loss: 0.814481 * Train accuracy / confusion: 75.25% / [[295, 49, 13], [67, 175, 22], [9, 38, 132]], * Val accuracy / confusion: 57.31% / [[161, 56, 13], [64, 89, 22], [19, 48, 48]] ------------------------------ Epoch 849 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768156 - Iter 024 / 025, Loss: 0.567392 * Train accuracy / confusion: 74.50% / [[297, 48, 11], [66, 175, 28], [10, 41, 124]], * Val accuracy / confusion: 59.23% / [[159, 57, 14], [64, 93, 18], [17, 42, 56]] ------------------------------ Epoch 850 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639672 - Iter 024 / 025, Loss: 0.653400 * Train accuracy / confusion: 76.62% / [[293, 51, 13], [56, 190, 20], [17, 30, 130]], * Val accuracy / confusion: 56.73% / [[160, 56, 14], [63, 90, 22], [18, 52, 45]] ------------------------------ Epoch 851 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.686845 - Iter 024 / 025, Loss: 0.543354 * Train accuracy / confusion: 74.50% / [[291, 51, 12], [67, 182, 23], [24, 27, 123]], * Val accuracy / confusion: 57.88% / [[166, 55, 9], [66, 87, 22], [21, 46, 48]] ------------------------------ Epoch 852 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.025279 - Iter 024 / 025, Loss: 0.367389 * Train accuracy / confusion: 72.88% / [[293, 48, 12], [75, 170, 27], [13, 42, 120]], * Val accuracy / confusion: 55.19% / [[156, 61, 13], [65, 87, 23], [18, 53, 44]] ------------------------------ Epoch 853 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574818 - Iter 024 / 025, Loss: 0.546091 * Train accuracy / confusion: 75.50% / [[292, 52, 12], [65, 183, 21], [14, 32, 129]], * Val accuracy / confusion: 55.58% / [[152, 54, 24], [72, 81, 22], [19, 40, 56]] ------------------------------ Epoch 854 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555299 - Iter 024 / 025, Loss: 0.485216 * Train accuracy / confusion: 74.88% / [[296, 49, 12], [65, 179, 24], [16, 35, 124]], * Val accuracy / confusion: 56.92% / [[160, 53, 17], [71, 81, 23], [16, 44, 55]] ------------------------------ Epoch 855 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.416348 - Iter 024 / 025, Loss: 0.441092 * Train accuracy / confusion: 75.25% / [[295, 50, 10], [63, 178, 27], [9, 39, 129]], * Val accuracy / confusion: 56.92% / [[163, 47, 20], [70, 84, 21], [19, 47, 49]] ------------------------------ Epoch 856 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548480 - Iter 024 / 025, Loss: 0.530200 * Train accuracy / confusion: 74.38% / [[303, 50, 6], [68, 172, 26], [17, 38, 120]], * Val accuracy / confusion: 57.31% / [[156, 61, 13], [62, 89, 24], [15, 47, 53]] ------------------------------ Epoch 857 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797027 - Iter 024 / 025, Loss: 0.611046 * Train accuracy / confusion: 75.38% / [[298, 49, 12], [60, 175, 28], [14, 34, 130]], * Val accuracy / confusion: 56.54% / [[152, 54, 24], [64, 87, 24], [16, 44, 55]] ------------------------------ Epoch 858 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486718 - Iter 024 / 025, Loss: 0.524172 * Train accuracy / confusion: 76.38% / [[298, 49, 14], [69, 174, 19], [12, 26, 139]], * Val accuracy / confusion: 57.12% / [[153, 64, 13], [58, 87, 30], [20, 38, 57]] ------------------------------ Epoch 859 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577410 - Iter 024 / 025, Loss: 0.604075 * Train accuracy / confusion: 75.00% / [[296, 49, 11], [62, 174, 30], [17, 31, 130]], * Val accuracy / confusion: 57.69% / [[157, 61, 12], [54, 88, 33], [16, 44, 55]] ------------------------------ Epoch 860 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.349345 - Iter 024 / 025, Loss: 0.529471 * Train accuracy / confusion: 74.75% / [[295, 48, 13], [55, 183, 28], [17, 41, 120]], * Val accuracy / confusion: 56.35% / [[149, 63, 18], [58, 90, 27], [18, 43, 54]] ------------------------------ Epoch 861 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540264 - Iter 024 / 025, Loss: 0.452173 * Train accuracy / confusion: 75.12% / [[308, 41, 8], [64, 181, 23], [18, 45, 112]], * Val accuracy / confusion: 58.46% / [[161, 56, 13], [60, 91, 24], [16, 47, 52]] ------------------------------ Epoch 862 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565127 - Iter 024 / 025, Loss: 0.428599 * Train accuracy / confusion: 75.62% / [[299, 42, 15], [64, 179, 26], [18, 30, 127]], * Val accuracy / confusion: 58.46% / [[157, 61, 12], [60, 100, 15], [23, 45, 47]] ------------------------------ Epoch 863 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665301 - Iter 024 / 025, Loss: 0.659060 * Train accuracy / confusion: 75.00% / [[289, 60, 7], [67, 181, 21], [9, 36, 130]], * Val accuracy / confusion: 55.96% / [[159, 54, 17], [59, 82, 34], [16, 49, 50]] ------------------------------ Epoch 864 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779404 - Iter 024 / 025, Loss: 0.476700 * Train accuracy / confusion: 75.38% / [[300, 48, 10], [66, 171, 30], [9, 34, 132]], * Val accuracy / confusion: 59.04% / [[160, 46, 24], [60, 84, 31], [21, 31, 63]] ------------------------------ Epoch 865 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.538223 - Iter 024 / 025, Loss: 0.611261 * Train accuracy / confusion: 76.38% / [[300, 46, 11], [65, 180, 22], [13, 32, 131]], * Val accuracy / confusion: 55.00% / [[160, 46, 24], [72, 79, 24], [18, 50, 47]] ------------------------------ Epoch 866 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.551700 - Iter 024 / 025, Loss: 0.476862 * Train accuracy / confusion: 76.12% / [[301, 46, 13], [64, 185, 20], [13, 35, 123]], * Val accuracy / confusion: 56.15% / [[156, 63, 11], [68, 81, 26], [24, 36, 55]] ------------------------------ Epoch 867 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613253 - Iter 024 / 025, Loss: 0.558651 * Train accuracy / confusion: 73.25% / [[287, 52, 15], [73, 174, 23], [15, 36, 125]], * Val accuracy / confusion: 57.69% / [[157, 56, 17], [68, 88, 19], [19, 41, 55]] ------------------------------ Epoch 868 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.542718 - Iter 024 / 025, Loss: 0.668912 * Train accuracy / confusion: 73.50% / [[287, 60, 7], [72, 180, 18], [13, 42, 121]], * Val accuracy / confusion: 58.65% / [[162, 53, 15], [68, 85, 22], [22, 35, 58]] ------------------------------ Epoch 869 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.405806 - Iter 024 / 025, Loss: 0.488240 * Train accuracy / confusion: 74.25% / [[291, 54, 12], [69, 172, 25], [13, 33, 131]], * Val accuracy / confusion: 53.65% / [[147, 64, 19], [64, 76, 35], [18, 41, 56]] ------------------------------ Epoch 870 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556817 - Iter 024 / 025, Loss: 0.652546 * Train accuracy / confusion: 73.50% / [[285, 61, 11], [67, 176, 24], [19, 30, 127]], * Val accuracy / confusion: 56.35% / [[154, 54, 22], [62, 85, 28], [19, 42, 54]] ------------------------------ Epoch 871 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431789 - Iter 024 / 025, Loss: 0.583172 * Train accuracy / confusion: 77.50% / [[295, 46, 15], [56, 193, 19], [16, 28, 132]], * Val accuracy / confusion: 58.46% / [[154, 61, 15], [58, 97, 20], [20, 42, 53]] ------------------------------ Epoch 872 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.748303 - Iter 024 / 025, Loss: 0.584625 * Train accuracy / confusion: 74.00% / [[299, 51, 8], [64, 175, 32], [10, 43, 118]], * Val accuracy / confusion: 56.35% / [[153, 55, 22], [63, 84, 28], [21, 38, 56]] ------------------------------ Epoch 873 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.567211 - Iter 024 / 025, Loss: 0.753882 * Train accuracy / confusion: 75.75% / [[292, 51, 10], [63, 191, 15], [18, 37, 123]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [68, 79, 28], [14, 43, 58]] ------------------------------ Epoch 874 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482542 - Iter 024 / 025, Loss: 0.697687 * Train accuracy / confusion: 74.75% / [[302, 43, 12], [66, 173, 29], [12, 40, 123]], * Val accuracy / confusion: 57.69% / [[152, 54, 24], [51, 92, 32], [15, 44, 56]] ------------------------------ Epoch 875 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407091 - Iter 024 / 025, Loss: 0.539805 * Train accuracy / confusion: 73.50% / [[295, 54, 9], [78, 165, 24], [5, 42, 128]], * Val accuracy / confusion: 58.27% / [[158, 53, 19], [52, 90, 33], [18, 42, 55]] ------------------------------ Epoch 876 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.377480 - Iter 024 / 025, Loss: 0.578924 * Train accuracy / confusion: 76.88% / [[308, 41, 6], [71, 173, 23], [10, 34, 134]], * Val accuracy / confusion: 55.19% / [[146, 70, 14], [65, 94, 16], [16, 52, 47]] ------------------------------ Epoch 877 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626895 - Iter 024 / 025, Loss: 0.739322 * Train accuracy / confusion: 74.62% / [[292, 51, 15], [68, 176, 23], [11, 35, 129]], * Val accuracy / confusion: 58.85% / [[158, 56, 16], [59, 88, 28], [16, 39, 60]] ------------------------------ Epoch 878 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.611665 - Iter 024 / 025, Loss: 0.672498 * Train accuracy / confusion: 75.50% / [[294, 50, 12], [60, 182, 25], [17, 32, 128]], * Val accuracy / confusion: 61.15% / [[162, 52, 16], [58, 99, 18], [18, 40, 57]] ------------------------------ Epoch 879 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528342 - Iter 024 / 025, Loss: 0.405604 * Train accuracy / confusion: 75.50% / [[297, 49, 8], [68, 175, 26], [8, 37, 132]], * Val accuracy / confusion: 58.85% / [[164, 50, 16], [64, 91, 20], [17, 47, 51]] ------------------------------ Epoch 880 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.781897 - Iter 024 / 025, Loss: 0.551841 * Train accuracy / confusion: 74.00% / [[291, 48, 12], [70, 177, 26], [18, 34, 124]], * Val accuracy / confusion: 59.81% / [[156, 56, 18], [52, 97, 26], [16, 41, 58]] ------------------------------ Epoch 881 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595398 - Iter 024 / 025, Loss: 0.487895 * Train accuracy / confusion: 77.50% / [[300, 43, 12], [58, 192, 18], [14, 35, 128]], * Val accuracy / confusion: 56.73% / [[166, 45, 19], [69, 74, 32], [23, 37, 55]] ------------------------------ Epoch 882 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494100 - Iter 024 / 025, Loss: 0.706352 * Train accuracy / confusion: 74.88% / [[293, 56, 8], [66, 182, 20], [13, 38, 124]], * Val accuracy / confusion: 57.50% / [[157, 56, 17], [60, 90, 25], [14, 49, 52]] ------------------------------ Epoch 883 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511083 - Iter 024 / 025, Loss: 0.416406 * Train accuracy / confusion: 75.75% / [[293, 58, 11], [53, 185, 25], [11, 36, 128]], * Val accuracy / confusion: 54.04% / [[149, 65, 16], [55, 82, 38], [19, 46, 50]] ------------------------------ Epoch 884 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468243 - Iter 024 / 025, Loss: 0.719219 * Train accuracy / confusion: 75.25% / [[299, 50, 9], [73, 173, 21], [9, 36, 130]], * Val accuracy / confusion: 55.96% / [[160, 52, 18], [67, 76, 32], [18, 42, 55]] ------------------------------ Epoch 885 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558925 - Iter 024 / 025, Loss: 1.121169 * Train accuracy / confusion: 75.75% / [[298, 50, 9], [60, 183, 22], [17, 36, 125]], * Val accuracy / confusion: 57.50% / [[168, 51, 11], [63, 87, 25], [20, 51, 44]] ------------------------------ Epoch 886 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555395 - Iter 024 / 025, Loss: 0.580517 * Train accuracy / confusion: 75.75% / [[301, 45, 8], [72, 174, 21], [15, 33, 131]], * Val accuracy / confusion: 55.38% / [[158, 55, 17], [69, 81, 25], [16, 50, 49]] ------------------------------ Epoch 887 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645487 - Iter 024 / 025, Loss: 0.627518 * Train accuracy / confusion: 73.75% / [[303, 45, 15], [73, 156, 33], [10, 34, 131]], * Val accuracy / confusion: 58.85% / [[161, 49, 20], [62, 91, 22], [18, 43, 54]] ------------------------------ Epoch 888 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608459 - Iter 024 / 025, Loss: 0.597594 * Train accuracy / confusion: 75.00% / [[293, 53, 8], [75, 174, 22], [15, 27, 133]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [64, 92, 19], [16, 46, 53]] ------------------------------ Epoch 889 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.576926 - Iter 024 / 025, Loss: 0.543410 * Train accuracy / confusion: 75.25% / [[294, 50, 13], [70, 175, 20], [8, 37, 133]], * Val accuracy / confusion: 55.19% / [[158, 56, 16], [70, 80, 25], [17, 49, 49]] ------------------------------ Epoch 890 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.539117 - Iter 024 / 025, Loss: 0.510127 * Train accuracy / confusion: 76.25% / [[305, 42, 11], [61, 180, 25], [11, 40, 125]], * Val accuracy / confusion: 56.35% / [[161, 57, 12], [65, 80, 30], [19, 44, 52]] ------------------------------ Epoch 891 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478287 - Iter 024 / 025, Loss: 0.556686 * Train accuracy / confusion: 73.88% / [[305, 46, 7], [72, 164, 32], [16, 36, 122]], * Val accuracy / confusion: 56.35% / [[154, 55, 21], [64, 86, 25], [16, 46, 53]] ------------------------------ Epoch 892 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.859541 - Iter 024 / 025, Loss: 0.687152 * Train accuracy / confusion: 75.62% / [[298, 47, 16], [66, 181, 20], [13, 33, 126]], * Val accuracy / confusion: 55.58% / [[149, 67, 14], [67, 82, 26], [18, 39, 58]] ------------------------------ Epoch 893 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.417386 - Iter 024 / 025, Loss: 0.540254 * Train accuracy / confusion: 74.75% / [[296, 50, 11], [63, 169, 35], [16, 27, 133]], * Val accuracy / confusion: 57.12% / [[164, 52, 14], [67, 84, 24], [24, 42, 49]] ------------------------------ Epoch 894 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.740617 - Iter 024 / 025, Loss: 0.710725 * Train accuracy / confusion: 75.25% / [[299, 51, 6], [72, 173, 25], [11, 33, 130]], * Val accuracy / confusion: 57.50% / [[160, 58, 12], [63, 84, 28], [18, 42, 55]] ------------------------------ Epoch 895 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479831 - Iter 024 / 025, Loss: 0.353235 * Train accuracy / confusion: 74.00% / [[301, 41, 13], [66, 176, 24], [26, 38, 115]], * Val accuracy / confusion: 55.58% / [[165, 56, 9], [67, 78, 30], [20, 49, 46]] ------------------------------ Epoch 896 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.601876 - Iter 024 / 025, Loss: 0.480430 * Train accuracy / confusion: 71.75% / [[283, 59, 14], [76, 173, 21], [19, 37, 118]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [60, 88, 27], [13, 46, 56]] ------------------------------ Epoch 897 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.344239 - Iter 024 / 025, Loss: 0.415703 * Train accuracy / confusion: 73.25% / [[294, 54, 9], [75, 164, 25], [15, 36, 128]], * Val accuracy / confusion: 57.69% / [[159, 59, 12], [64, 92, 19], [18, 48, 49]] ------------------------------ Epoch 898 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.677384 - Iter 024 / 025, Loss: 0.456921 * Train accuracy / confusion: 76.12% / [[293, 50, 9], [66, 185, 23], [9, 34, 131]], * Val accuracy / confusion: 57.88% / [[164, 51, 15], [57, 95, 23], [22, 51, 42]] ------------------------------ Epoch 899 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624084 - Iter 024 / 025, Loss: 0.546349 * Train accuracy / confusion: 73.62% / [[296, 51, 10], [72, 169, 28], [17, 33, 124]], * Val accuracy / confusion: 59.04% / [[150, 62, 18], [55, 102, 18], [16, 44, 55]] ------------------------------ Epoch 900 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.670500 - Iter 024 / 025, Loss: 0.421293 * Train accuracy / confusion: 78.00% / [[304, 48, 8], [52, 190, 24], [11, 33, 130]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [57, 99, 19], [23, 42, 50]] ------------------------------ Epoch 901 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644368 - Iter 024 / 025, Loss: 0.525896 * Train accuracy / confusion: 76.88% / [[297, 47, 9], [65, 185, 20], [14, 30, 133]], * Val accuracy / confusion: 58.65% / [[163, 54, 13], [66, 87, 22], [14, 46, 55]] ------------------------------ Epoch 902 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575151 - Iter 024 / 025, Loss: 0.710591 * Train accuracy / confusion: 74.62% / [[301, 47, 11], [70, 176, 21], [10, 44, 120]], * Val accuracy / confusion: 56.35% / [[152, 55, 23], [65, 85, 25], [19, 40, 56]] ------------------------------ Epoch 903 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596209 - Iter 024 / 025, Loss: 0.740638 * Train accuracy / confusion: 74.62% / [[296, 52, 12], [65, 180, 23], [17, 34, 121]], * Val accuracy / confusion: 54.81% / [[166, 51, 13], [78, 71, 26], [19, 48, 48]] ------------------------------ Epoch 904 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536463 - Iter 024 / 025, Loss: 1.099729 * Train accuracy / confusion: 73.25% / [[295, 55, 9], [66, 174, 27], [18, 39, 117]], * Val accuracy / confusion: 59.62% / [[160, 54, 16], [53, 92, 30], [12, 45, 58]] ------------------------------ Epoch 905 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688759 - Iter 024 / 025, Loss: 0.350442 * Train accuracy / confusion: 74.62% / [[298, 48, 13], [70, 175, 22], [16, 34, 124]], * Val accuracy / confusion: 57.88% / [[156, 62, 12], [71, 81, 23], [15, 36, 64]] ------------------------------ Epoch 906 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575476 - Iter 024 / 025, Loss: 0.653520 * Train accuracy / confusion: 75.62% / [[301, 50, 4], [63, 178, 31], [13, 34, 126]], * Val accuracy / confusion: 58.85% / [[167, 48, 15], [68, 78, 29], [18, 36, 61]] ------------------------------ Epoch 907 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644157 - Iter 024 / 025, Loss: 0.515461 * Train accuracy / confusion: 73.75% / [[298, 52, 6], [67, 170, 32], [17, 36, 122]], * Val accuracy / confusion: 57.50% / [[157, 55, 18], [69, 83, 23], [17, 39, 59]] ------------------------------ Epoch 908 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746567 - Iter 024 / 025, Loss: 0.456538 * Train accuracy / confusion: 76.88% / [[301, 45, 8], [64, 181, 25], [8, 35, 133]], * Val accuracy / confusion: 58.65% / [[161, 59, 10], [58, 95, 22], [21, 45, 49]] ------------------------------ Epoch 909 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.832236 - Iter 024 / 025, Loss: 0.569976 * Train accuracy / confusion: 77.00% / [[309, 40, 9], [55, 190, 20], [16, 44, 117]], * Val accuracy / confusion: 58.46% / [[150, 60, 20], [55, 99, 21], [18, 42, 55]] ------------------------------ Epoch 910 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583242 - Iter 024 / 025, Loss: 0.767594 * Train accuracy / confusion: 74.75% / [[298, 43, 15], [63, 178, 31], [14, 36, 122]], * Val accuracy / confusion: 58.85% / [[158, 55, 17], [61, 94, 20], [16, 45, 54]] ------------------------------ Epoch 911 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559334 - Iter 024 / 025, Loss: 0.743399 * Train accuracy / confusion: 76.25% / [[296, 47, 10], [68, 182, 20], [11, 34, 132]], * Val accuracy / confusion: 57.50% / [[159, 61, 10], [61, 90, 24], [21, 44, 50]] ------------------------------ Epoch 912 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516253 - Iter 024 / 025, Loss: 0.467839 * Train accuracy / confusion: 76.50% / [[303, 49, 5], [65, 175, 27], [11, 31, 134]], * Val accuracy / confusion: 56.15% / [[163, 54, 13], [70, 78, 27], [17, 47, 51]] ------------------------------ Epoch 913 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579194 - Iter 024 / 025, Loss: 0.613420 * Train accuracy / confusion: 76.12% / [[300, 45, 13], [65, 182, 19], [7, 42, 127]], * Val accuracy / confusion: 59.23% / [[146, 68, 16], [48, 98, 29], [12, 39, 64]] ------------------------------ Epoch 914 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.580183 - Iter 024 / 025, Loss: 0.440924 * Train accuracy / confusion: 75.00% / [[295, 42, 15], [67, 182, 25], [13, 38, 123]], * Val accuracy / confusion: 58.08% / [[153, 55, 22], [59, 92, 24], [14, 44, 57]] ------------------------------ Epoch 915 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730919 - Iter 024 / 025, Loss: 0.653012 * Train accuracy / confusion: 73.88% / [[295, 52, 7], [78, 172, 19], [12, 41, 124]], * Val accuracy / confusion: 55.96% / [[154, 62, 14], [70, 83, 22], [15, 46, 54]] ------------------------------ Epoch 916 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.529909 - Iter 024 / 025, Loss: 0.675811 * Train accuracy / confusion: 76.12% / [[306, 44, 7], [69, 169, 29], [15, 27, 134]], * Val accuracy / confusion: 59.62% / [[167, 46, 17], [64, 97, 14], [16, 53, 46]] ------------------------------ Epoch 917 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.952857 - Iter 024 / 025, Loss: 0.477600 * Train accuracy / confusion: 74.50% / [[296, 48, 12], [64, 177, 30], [17, 33, 123]], * Val accuracy / confusion: 57.88% / [[154, 62, 14], [65, 93, 17], [14, 47, 54]] ------------------------------ Epoch 918 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936927 - Iter 024 / 025, Loss: 0.340592 * Train accuracy / confusion: 76.75% / [[302, 39, 13], [62, 183, 24], [11, 37, 129]], * Val accuracy / confusion: 59.62% / [[156, 59, 15], [55, 98, 22], [21, 38, 56]] ------------------------------ Epoch 919 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566921 - Iter 024 / 025, Loss: 0.684768 * Train accuracy / confusion: 75.00% / [[301, 44, 8], [68, 176, 25], [14, 41, 123]], * Val accuracy / confusion: 58.85% / [[162, 58, 10], [68, 86, 21], [16, 41, 58]] ------------------------------ Epoch 920 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573941 - Iter 024 / 025, Loss: 0.564421 * Train accuracy / confusion: 74.75% / [[290, 46, 16], [67, 184, 22], [19, 32, 124]], * Val accuracy / confusion: 58.27% / [[146, 67, 17], [54, 101, 20], [18, 41, 56]] ------------------------------ Epoch 921 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412108 - Iter 024 / 025, Loss: 0.508836 * Train accuracy / confusion: 75.75% / [[299, 49, 9], [65, 181, 21], [14, 36, 126]], * Val accuracy / confusion: 56.15% / [[152, 58, 20], [61, 88, 26], [19, 44, 52]] ------------------------------ Epoch 922 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556345 - Iter 024 / 025, Loss: 0.726685 * Train accuracy / confusion: 76.12% / [[298, 46, 12], [64, 182, 24], [13, 32, 129]], * Val accuracy / confusion: 56.54% / [[159, 58, 13], [60, 79, 36], [16, 43, 56]] ------------------------------ Epoch 923 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528074 - Iter 024 / 025, Loss: 0.442773 * Train accuracy / confusion: 74.50% / [[301, 40, 14], [73, 163, 32], [16, 29, 132]], * Val accuracy / confusion: 56.54% / [[155, 53, 22], [61, 91, 23], [21, 46, 48]] ------------------------------ Epoch 924 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.487867 - Iter 024 / 025, Loss: 0.499369 * Train accuracy / confusion: 76.50% / [[307, 40, 8], [70, 168, 26], [12, 32, 137]], * Val accuracy / confusion: 57.50% / [[164, 57, 9], [62, 84, 29], [15, 49, 51]] ------------------------------ Epoch 925 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414764 - Iter 024 / 025, Loss: 0.629584 * Train accuracy / confusion: 77.38% / [[305, 44, 4], [70, 183, 17], [15, 31, 131]], * Val accuracy / confusion: 55.19% / [[153, 61, 16], [63, 80, 32], [19, 42, 54]] ------------------------------ Epoch 926 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.380184 - Iter 024 / 025, Loss: 0.833615 * Train accuracy / confusion: 75.38% / [[303, 41, 16], [66, 170, 29], [9, 36, 130]], * Val accuracy / confusion: 56.35% / [[159, 56, 15], [66, 78, 31], [20, 39, 56]] ------------------------------ Epoch 927 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624961 - Iter 024 / 025, Loss: 0.782923 * Train accuracy / confusion: 74.25% / [[294, 46, 13], [66, 167, 36], [13, 32, 133]], * Val accuracy / confusion: 55.19% / [[147, 57, 26], [60, 80, 35], [17, 38, 60]] ------------------------------ Epoch 928 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424717 - Iter 024 / 025, Loss: 0.539171 * Train accuracy / confusion: 73.38% / [[299, 50, 10], [74, 164, 29], [14, 36, 124]], * Val accuracy / confusion: 56.35% / [[158, 55, 17], [68, 84, 23], [17, 47, 51]] ------------------------------ Epoch 929 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732346 - Iter 024 / 025, Loss: 0.464701 * Train accuracy / confusion: 76.12% / [[302, 46, 8], [63, 181, 26], [9, 39, 126]], * Val accuracy / confusion: 57.50% / [[171, 51, 8], [74, 74, 27], [18, 43, 54]] ------------------------------ Epoch 930 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562557 - Iter 024 / 025, Loss: 0.474099 * Train accuracy / confusion: 77.12% / [[308, 38, 8], [63, 177, 30], [12, 32, 132]], * Val accuracy / confusion: 57.88% / [[163, 52, 15], [66, 84, 25], [17, 44, 54]] ------------------------------ Epoch 931 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407668 - Iter 024 / 025, Loss: 0.604029 * Train accuracy / confusion: 75.50% / [[295, 54, 8], [66, 169, 31], [11, 26, 140]], * Val accuracy / confusion: 60.77% / [[162, 58, 10], [56, 97, 22], [19, 39, 57]] ------------------------------ Epoch 932 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588839 - Iter 024 / 025, Loss: 0.754694 * Train accuracy / confusion: 75.75% / [[300, 47, 12], [72, 179, 16], [14, 33, 127]], * Val accuracy / confusion: 55.00% / [[148, 68, 14], [63, 83, 29], [11, 49, 55]] ------------------------------ Epoch 933 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446492 - Iter 024 / 025, Loss: 0.560411 * Train accuracy / confusion: 76.50% / [[300, 44, 9], [68, 184, 23], [11, 33, 128]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [52, 90, 33], [18, 38, 59]] ------------------------------ Epoch 934 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.396651 - Iter 024 / 025, Loss: 0.534211 * Train accuracy / confusion: 77.00% / [[301, 42, 14], [68, 188, 14], [13, 33, 127]], * Val accuracy / confusion: 55.19% / [[154, 57, 19], [67, 87, 21], [17, 52, 46]] ------------------------------ Epoch 935 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500589 - Iter 024 / 025, Loss: 0.392376 * Train accuracy / confusion: 74.50% / [[298, 49, 9], [68, 166, 31], [13, 34, 132]], * Val accuracy / confusion: 57.88% / [[160, 52, 18], [68, 85, 22], [14, 45, 56]] ------------------------------ Epoch 936 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759458 - Iter 024 / 025, Loss: 0.543295 * Train accuracy / confusion: 76.62% / [[294, 49, 15], [63, 183, 22], [11, 27, 136]], * Val accuracy / confusion: 58.27% / [[157, 58, 15], [52, 92, 31], [15, 46, 54]] ------------------------------ Epoch 937 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440203 - Iter 024 / 025, Loss: 0.539173 * Train accuracy / confusion: 75.75% / [[299, 51, 9], [61, 183, 22], [18, 33, 124]], * Val accuracy / confusion: 57.31% / [[154, 61, 15], [61, 90, 24], [17, 44, 54]] ------------------------------ Epoch 938 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463331 - Iter 024 / 025, Loss: 0.487798 * Train accuracy / confusion: 74.00% / [[292, 52, 10], [71, 169, 30], [17, 28, 131]], * Val accuracy / confusion: 60.19% / [[159, 58, 13], [47, 103, 25], [18, 46, 51]] ------------------------------ Epoch 939 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441227 - Iter 024 / 025, Loss: 0.605028 * Train accuracy / confusion: 76.38% / [[297, 49, 9], [62, 182, 24], [19, 26, 132]], * Val accuracy / confusion: 59.23% / [[165, 53, 12], [71, 79, 25], [18, 33, 64]] ------------------------------ Epoch 940 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431356 - Iter 024 / 025, Loss: 0.530637 * Train accuracy / confusion: 77.12% / [[302, 45, 9], [66, 184, 18], [16, 29, 131]], * Val accuracy / confusion: 56.92% / [[155, 61, 14], [58, 88, 29], [13, 49, 53]] ------------------------------ Epoch 941 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.723023 - Iter 024 / 025, Loss: 0.549085 * Train accuracy / confusion: 76.38% / [[300, 45, 13], [59, 183, 25], [15, 32, 128]], * Val accuracy / confusion: 55.00% / [[146, 60, 24], [58, 88, 29], [14, 49, 52]] ------------------------------ Epoch 942 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.674234 - Iter 024 / 025, Loss: 0.452856 * Train accuracy / confusion: 74.75% / [[300, 47, 13], [70, 170, 21], [15, 36, 128]], * Val accuracy / confusion: 57.31% / [[158, 59, 13], [63, 89, 23], [24, 40, 51]] ------------------------------ Epoch 943 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629554 - Iter 024 / 025, Loss: 0.611883 * Train accuracy / confusion: 77.12% / [[301, 42, 10], [65, 186, 20], [18, 28, 130]], * Val accuracy / confusion: 57.69% / [[159, 51, 20], [59, 89, 27], [21, 42, 52]] ------------------------------ Epoch 944 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.646484 - Iter 024 / 025, Loss: 0.677194 * Train accuracy / confusion: 77.75% / [[300, 46, 12], [63, 185, 19], [13, 25, 137]], * Val accuracy / confusion: 56.73% / [[162, 49, 19], [75, 78, 22], [23, 37, 55]] ------------------------------ Epoch 945 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777068 - Iter 024 / 025, Loss: 0.489043 * Train accuracy / confusion: 76.62% / [[307, 40, 10], [65, 179, 24], [13, 35, 127]], * Val accuracy / confusion: 57.69% / [[160, 48, 22], [68, 72, 35], [15, 32, 68]] ------------------------------ Epoch 946 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543347 - Iter 024 / 025, Loss: 0.648079 * Train accuracy / confusion: 73.38% / [[292, 56, 10], [62, 174, 32], [16, 37, 121]], * Val accuracy / confusion: 55.58% / [[161, 53, 16], [71, 79, 25], [20, 46, 49]] ------------------------------ Epoch 947 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463684 - Iter 024 / 025, Loss: 0.679245 * Train accuracy / confusion: 76.50% / [[298, 43, 11], [63, 184, 22], [11, 38, 130]], * Val accuracy / confusion: 56.35% / [[158, 54, 18], [65, 82, 28], [20, 42, 53]] ------------------------------ Epoch 948 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.449175 - Iter 024 / 025, Loss: 0.480507 * Train accuracy / confusion: 77.38% / [[300, 45, 13], [57, 183, 27], [12, 27, 136]], * Val accuracy / confusion: 55.77% / [[161, 54, 15], [58, 76, 41], [17, 45, 53]] ------------------------------ Epoch 949 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.751527 - Iter 024 / 025, Loss: 0.658672 * Train accuracy / confusion: 75.12% / [[299, 48, 6], [67, 171, 34], [11, 33, 131]], * Val accuracy / confusion: 56.35% / [[152, 67, 11], [62, 93, 20], [14, 53, 48]] ------------------------------ Epoch 950 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.653753 - Iter 024 / 025, Loss: 0.457471 * Train accuracy / confusion: 75.50% / [[304, 44, 8], [73, 174, 21], [9, 41, 126]], * Val accuracy / confusion: 57.69% / [[155, 59, 16], [64, 90, 21], [15, 45, 55]] ------------------------------ Epoch 951 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390738 - Iter 024 / 025, Loss: 0.601313 * Train accuracy / confusion: 75.25% / [[295, 50, 9], [68, 179, 21], [18, 32, 128]], * Val accuracy / confusion: 61.15% / [[176, 49, 5], [62, 87, 26], [19, 41, 55]] ------------------------------ Epoch 952 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639720 - Iter 024 / 025, Loss: 0.447406 * Train accuracy / confusion: 76.50% / [[301, 44, 10], [61, 182, 23], [10, 40, 129]], * Val accuracy / confusion: 55.38% / [[152, 64, 14], [64, 88, 23], [14, 53, 48]] ------------------------------ Epoch 953 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479047 - Iter 024 / 025, Loss: 0.692173 * Train accuracy / confusion: 75.38% / [[296, 47, 12], [66, 180, 21], [13, 38, 127]], * Val accuracy / confusion: 58.46% / [[162, 46, 22], [60, 87, 28], [16, 44, 55]] ------------------------------ Epoch 954 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.480811 - Iter 024 / 025, Loss: 0.481162 * Train accuracy / confusion: 73.12% / [[298, 50, 10], [72, 163, 30], [11, 42, 124]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [60, 84, 31], [22, 38, 55]] ------------------------------ Epoch 955 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.418538 - Iter 024 / 025, Loss: 0.795380 * Train accuracy / confusion: 73.12% / [[283, 63, 12], [73, 165, 25], [12, 30, 137]], * Val accuracy / confusion: 58.65% / [[159, 54, 17], [58, 93, 24], [22, 40, 53]] ------------------------------ Epoch 956 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587803 - Iter 024 / 025, Loss: 0.585404 * Train accuracy / confusion: 76.25% / [[303, 42, 10], [55, 181, 30], [21, 32, 126]], * Val accuracy / confusion: 55.77% / [[144, 66, 20], [63, 84, 28], [14, 39, 62]] ------------------------------ Epoch 957 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562756 - Iter 024 / 025, Loss: 0.690180 * Train accuracy / confusion: 75.12% / [[289, 48, 15], [56, 183, 32], [10, 38, 129]], * Val accuracy / confusion: 58.27% / [[156, 60, 14], [57, 91, 27], [16, 43, 56]] ------------------------------ Epoch 958 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495265 - Iter 024 / 025, Loss: 0.546062 * Train accuracy / confusion: 75.00% / [[286, 52, 15], [69, 185, 16], [12, 36, 129]], * Val accuracy / confusion: 54.62% / [[153, 64, 13], [59, 87, 29], [16, 55, 44]] ------------------------------ Epoch 959 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458283 - Iter 024 / 025, Loss: 0.510665 * Train accuracy / confusion: 75.25% / [[298, 53, 8], [66, 173, 27], [7, 37, 131]], * Val accuracy / confusion: 56.92% / [[158, 57, 15], [64, 82, 29], [18, 41, 56]] ------------------------------ Epoch 960 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665963 - Iter 024 / 025, Loss: 0.352521 * Train accuracy / confusion: 75.38% / [[302, 42, 13], [70, 172, 27], [14, 31, 129]], * Val accuracy / confusion: 57.12% / [[160, 57, 13], [64, 85, 26], [23, 40, 52]] ------------------------------ Epoch 961 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584610 - Iter 024 / 025, Loss: 0.515683 * Train accuracy / confusion: 76.50% / [[296, 55, 7], [68, 187, 11], [8, 39, 129]], * Val accuracy / confusion: 60.00% / [[161, 55, 14], [56, 90, 29], [16, 38, 61]] ------------------------------ Epoch 962 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703912 - Iter 024 / 025, Loss: 0.660081 * Train accuracy / confusion: 75.38% / [[291, 55, 7], [72, 176, 21], [10, 32, 136]], * Val accuracy / confusion: 57.88% / [[159, 52, 19], [65, 91, 19], [17, 47, 51]] ------------------------------ Epoch 963 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722747 - Iter 024 / 025, Loss: 0.547529 * Train accuracy / confusion: 76.25% / [[293, 48, 10], [61, 190, 20], [13, 38, 127]], * Val accuracy / confusion: 56.92% / [[154, 59, 17], [60, 81, 34], [15, 39, 61]] ------------------------------ Epoch 964 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501986 - Iter 024 / 025, Loss: 0.594557 * Train accuracy / confusion: 74.88% / [[289, 54, 10], [60, 178, 31], [18, 28, 132]], * Val accuracy / confusion: 54.81% / [[150, 67, 13], [63, 85, 27], [16, 49, 50]] ------------------------------ Epoch 965 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.385559 - Iter 024 / 025, Loss: 0.543647 * Train accuracy / confusion: 73.75% / [[288, 59, 10], [76, 165, 26], [18, 21, 137]], * Val accuracy / confusion: 58.65% / [[160, 54, 16], [68, 90, 17], [19, 41, 55]] ------------------------------ Epoch 966 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574910 - Iter 024 / 025, Loss: 0.539243 * Train accuracy / confusion: 77.00% / [[302, 49, 8], [59, 181, 24], [11, 33, 133]], * Val accuracy / confusion: 60.00% / [[152, 63, 15], [50, 102, 23], [13, 44, 58]] ------------------------------ Epoch 967 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.815567 - Iter 024 / 025, Loss: 0.438319 * Train accuracy / confusion: 77.12% / [[298, 47, 10], [57, 188, 22], [16, 31, 131]], * Val accuracy / confusion: 56.73% / [[153, 61, 16], [63, 92, 20], [16, 49, 50]] ------------------------------ Epoch 968 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612077 - Iter 024 / 025, Loss: 0.635374 * Train accuracy / confusion: 73.75% / [[288, 58, 9], [65, 176, 30], [14, 34, 126]], * Val accuracy / confusion: 58.08% / [[158, 55, 17], [57, 89, 29], [15, 45, 55]] ------------------------------ Epoch 969 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.692795 - Iter 024 / 025, Loss: 0.665879 * Train accuracy / confusion: 75.12% / [[292, 52, 13], [62, 176, 29], [18, 25, 133]], * Val accuracy / confusion: 57.50% / [[164, 52, 14], [69, 82, 24], [16, 46, 53]] ------------------------------ Epoch 970 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604553 - Iter 024 / 025, Loss: 0.451351 * Train accuracy / confusion: 76.88% / [[304, 44, 13], [62, 179, 24], [13, 29, 132]], * Val accuracy / confusion: 55.58% / [[151, 64, 15], [59, 90, 26], [23, 44, 48]] ------------------------------ Epoch 971 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.008337 - Iter 024 / 025, Loss: 0.500238 * Train accuracy / confusion: 75.50% / [[297, 48, 15], [66, 177, 25], [12, 30, 130]], * Val accuracy / confusion: 55.77% / [[160, 58, 12], [64, 80, 31], [18, 47, 50]] ------------------------------ Epoch 972 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527798 - Iter 024 / 025, Loss: 0.543709 * Train accuracy / confusion: 73.88% / [[293, 55, 9], [65, 175, 28], [13, 39, 123]], * Val accuracy / confusion: 56.35% / [[159, 59, 12], [64, 80, 31], [16, 45, 54]] ------------------------------ Epoch 973 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434976 - Iter 024 / 025, Loss: 0.424285 * Train accuracy / confusion: 76.62% / [[310, 39, 10], [65, 176, 19], [17, 37, 127]], * Val accuracy / confusion: 57.31% / [[164, 51, 15], [62, 86, 27], [20, 47, 48]] ------------------------------ Epoch 974 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.546273 - Iter 024 / 025, Loss: 0.614841 * Train accuracy / confusion: 75.25% / [[296, 46, 12], [74, 168, 25], [9, 32, 138]], * Val accuracy / confusion: 58.08% / [[155, 56, 19], [55, 92, 28], [15, 45, 55]] ------------------------------ Epoch 975 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388851 - Iter 024 / 025, Loss: 0.540977 * Train accuracy / confusion: 76.38% / [[298, 50, 12], [66, 183, 20], [12, 29, 130]], * Val accuracy / confusion: 57.50% / [[164, 52, 14], [70, 85, 20], [23, 42, 50]] ------------------------------ Epoch 976 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483904 - Iter 024 / 025, Loss: 0.428378 * Train accuracy / confusion: 73.75% / [[291, 56, 10], [61, 177, 28], [17, 38, 122]], * Val accuracy / confusion: 56.54% / [[155, 56, 19], [67, 87, 21], [16, 47, 52]] ------------------------------ Epoch 977 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607475 - Iter 024 / 025, Loss: 1.205224 * Train accuracy / confusion: 73.00% / [[295, 51, 12], [70, 167, 30], [16, 37, 122]], * Val accuracy / confusion: 58.46% / [[162, 53, 15], [68, 85, 22], [26, 32, 57]] ------------------------------ Epoch 978 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.346953 - Iter 024 / 025, Loss: 0.418374 * Train accuracy / confusion: 77.62% / [[294, 46, 14], [62, 191, 16], [14, 27, 136]], * Val accuracy / confusion: 55.00% / [[151, 61, 18], [76, 85, 14], [18, 47, 50]] ------------------------------ Epoch 979 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.423533 - Iter 024 / 025, Loss: 0.387891 * Train accuracy / confusion: 73.88% / [[296, 44, 13], [69, 177, 24], [17, 42, 118]], * Val accuracy / confusion: 56.15% / [[154, 64, 12], [66, 87, 22], [16, 48, 51]] ------------------------------ Epoch 980 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478925 - Iter 024 / 025, Loss: 0.543695 * Train accuracy / confusion: 74.88% / [[293, 52, 9], [62, 178, 29], [13, 36, 128]], * Val accuracy / confusion: 58.46% / [[160, 60, 10], [63, 92, 20], [13, 50, 52]] ------------------------------ Epoch 981 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.698626 - Iter 024 / 025, Loss: 0.575347 * Train accuracy / confusion: 75.62% / [[293, 55, 11], [66, 177, 22], [16, 25, 135]], * Val accuracy / confusion: 53.08% / [[145, 63, 22], [59, 79, 37], [16, 47, 52]] ------------------------------ Epoch 982 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485555 - Iter 024 / 025, Loss: 0.526930 * Train accuracy / confusion: 76.75% / [[299, 44, 14], [59, 188, 25], [11, 33, 127]], * Val accuracy / confusion: 57.88% / [[158, 50, 22], [61, 90, 24], [17, 45, 53]] ------------------------------ Epoch 983 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.578257 - Iter 024 / 025, Loss: 0.719811 * Train accuracy / confusion: 76.12% / [[305, 44, 6], [66, 180, 25], [11, 39, 124]], * Val accuracy / confusion: 60.19% / [[162, 56, 12], [63, 94, 18], [13, 45, 57]] ------------------------------ Epoch 984 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610592 - Iter 024 / 025, Loss: 0.787858 * Train accuracy / confusion: 75.12% / [[296, 47, 11], [59, 180, 31], [17, 34, 125]], * Val accuracy / confusion: 56.54% / [[156, 63, 11], [61, 86, 28], [19, 44, 52]] ------------------------------ Epoch 985 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690890 - Iter 024 / 025, Loss: 0.518061 * Train accuracy / confusion: 74.62% / [[298, 48, 9], [74, 172, 22], [13, 37, 127]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [67, 81, 27], [15, 44, 56]] ------------------------------ Epoch 986 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630353 - Iter 024 / 025, Loss: 0.916015 * Train accuracy / confusion: 75.88% / [[296, 49, 12], [62, 181, 24], [10, 36, 130]], * Val accuracy / confusion: 59.04% / [[164, 52, 14], [61, 95, 19], [21, 46, 48]] ------------------------------ Epoch 987 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.530905 - Iter 024 / 025, Loss: 0.474661 * Train accuracy / confusion: 75.25% / [[299, 48, 10], [65, 168, 33], [10, 32, 135]], * Val accuracy / confusion: 55.96% / [[154, 58, 18], [70, 87, 18], [22, 43, 50]] ------------------------------ Epoch 988 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.641305 - Iter 024 / 025, Loss: 0.479986 * Train accuracy / confusion: 74.62% / [[300, 44, 8], [74, 177, 22], [16, 39, 120]], * Val accuracy / confusion: 61.35% / [[162, 57, 11], [58, 100, 17], [20, 38, 57]] ------------------------------ Epoch 989 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516868 - Iter 024 / 025, Loss: 0.532908 * Train accuracy / confusion: 76.38% / [[300, 50, 8], [60, 186, 23], [9, 39, 125]], * Val accuracy / confusion: 57.50% / [[157, 53, 20], [57, 90, 28], [14, 49, 52]] ------------------------------ Epoch 990 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786681 - Iter 024 / 025, Loss: 0.649424 * Train accuracy / confusion: 75.62% / [[297, 47, 15], [65, 182, 22], [11, 35, 126]], * Val accuracy / confusion: 57.88% / [[164, 55, 11], [60, 86, 29], [18, 46, 51]] ------------------------------ Epoch 991 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591852 - Iter 024 / 025, Loss: 0.449304 * Train accuracy / confusion: 76.12% / [[292, 55, 13], [61, 185, 23], [13, 26, 132]], * Val accuracy / confusion: 57.69% / [[152, 68, 10], [53, 96, 26], [18, 45, 52]] ------------------------------ Epoch 992 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656395 - Iter 024 / 025, Loss: 0.435501 * Train accuracy / confusion: 74.88% / [[295, 47, 15], [61, 179, 28], [13, 37, 125]], * Val accuracy / confusion: 57.50% / [[155, 58, 17], [65, 87, 23], [16, 42, 57]] ------------------------------ Epoch 993 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676596 - Iter 024 / 025, Loss: 0.668040 * Train accuracy / confusion: 73.88% / [[295, 44, 16], [71, 172, 28], [13, 37, 124]], * Val accuracy / confusion: 58.27% / [[162, 55, 13], [62, 86, 27], [15, 45, 55]] ------------------------------ Epoch 994 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479753 - Iter 024 / 025, Loss: 0.471063 * Train accuracy / confusion: 74.88% / [[305, 50, 8], [58, 180, 26], [17, 42, 114]], * Val accuracy / confusion: 55.00% / [[152, 66, 12], [63, 88, 24], [20, 49, 46]] ------------------------------ Epoch 995 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.394166 - Iter 024 / 025, Loss: 0.567220 * Train accuracy / confusion: 76.12% / [[298, 47, 10], [61, 188, 17], [20, 36, 123]], * Val accuracy / confusion: 58.65% / [[173, 40, 17], [63, 74, 38], [18, 39, 58]] ------------------------------ Epoch 996 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.484106 - Iter 024 / 025, Loss: 0.810745 * Train accuracy / confusion: 76.50% / [[301, 50, 8], [68, 177, 19], [13, 30, 134]], * Val accuracy / confusion: 59.42% / [[166, 52, 12], [59, 86, 30], [16, 42, 57]] ------------------------------ Epoch 997 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415490 - Iter 024 / 025, Loss: 0.516163 * Train accuracy / confusion: 76.38% / [[311, 40, 7], [70, 173, 25], [17, 30, 127]], * Val accuracy / confusion: 56.54% / [[156, 63, 11], [67, 88, 20], [13, 52, 50]] ------------------------------ Epoch 998 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.491952 - Iter 024 / 025, Loss: 0.462348 * Train accuracy / confusion: 75.75% / [[299, 42, 13], [65, 175, 26], [11, 37, 132]], * Val accuracy / confusion: 57.50% / [[160, 59, 11], [66, 86, 23], [19, 43, 53]] ------------------------------ Epoch 999 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.849771 - Iter 024 / 025, Loss: 0.675773 * Train accuracy / confusion: 75.75% / [[290, 57, 11], [64, 175, 26], [10, 26, 141]], * Val accuracy / confusion: 55.38% / [[158, 50, 22], [68, 80, 27], [25, 40, 50]] ------------------------------ Epoch 1000 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565723 - Iter 024 / 025, Loss: 0.581524 * Train accuracy / confusion: 75.00% / [[293, 53, 11], [66, 175, 25], [16, 29, 132]], * Val accuracy / confusion: 56.73% / [[155, 56, 19], [61, 86, 28], [22, 39, 54]] ------------------------------ Epoch 1001 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709902 - Iter 024 / 025, Loss: 0.556829 * Train accuracy / confusion: 76.12% / [[298, 47, 15], [54, 186, 23], [16, 36, 125]], * Val accuracy / confusion: 56.54% / [[144, 58, 28], [55, 99, 21], [17, 47, 51]] ------------------------------ Epoch 1002 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649754 - Iter 024 / 025, Loss: 0.676783 * Train accuracy / confusion: 74.75% / [[297, 55, 8], [64, 174, 25], [13, 37, 127]], * Val accuracy / confusion: 56.54% / [[155, 57, 18], [67, 82, 26], [17, 41, 57]] ------------------------------ Epoch 1003 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606492 - Iter 024 / 025, Loss: 0.535434 * Train accuracy / confusion: 75.12% / [[295, 45, 9], [73, 178, 21], [16, 35, 128]], * Val accuracy / confusion: 54.81% / [[155, 53, 22], [71, 79, 25], [23, 41, 51]] ------------------------------ Epoch 1004 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470000 - Iter 024 / 025, Loss: 0.508193 * Train accuracy / confusion: 75.38% / [[306, 42, 10], [66, 172, 28], [15, 36, 125]], * Val accuracy / confusion: 56.54% / [[148, 65, 17], [51, 104, 20], [20, 53, 42]] ------------------------------ Epoch 1005 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.365984 - Iter 024 / 025, Loss: 0.364552 * Train accuracy / confusion: 76.25% / [[302, 50, 7], [72, 165, 30], [9, 22, 143]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [65, 86, 24], [19, 43, 53]] ------------------------------ Epoch 1006 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443880 - Iter 024 / 025, Loss: 0.594921 * Train accuracy / confusion: 76.75% / [[302, 39, 11], [63, 183, 27], [10, 36, 129]], * Val accuracy / confusion: 58.65% / [[153, 59, 18], [68, 89, 18], [18, 34, 63]] ------------------------------ Epoch 1007 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596602 - Iter 024 / 025, Loss: 0.808869 * Train accuracy / confusion: 75.62% / [[301, 57, 3], [61, 179, 24], [15, 35, 125]], * Val accuracy / confusion: 55.19% / [[147, 57, 26], [59, 84, 32], [15, 44, 56]] ------------------------------ Epoch 1008 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.474681 - Iter 024 / 025, Loss: 0.648910 * Train accuracy / confusion: 77.12% / [[315, 35, 9], [68, 173, 26], [12, 33, 129]], * Val accuracy / confusion: 59.04% / [[160, 55, 15], [62, 89, 24], [17, 40, 58]] ------------------------------ Epoch 1009 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573184 - Iter 024 / 025, Loss: 0.557904 * Train accuracy / confusion: 74.00% / [[293, 54, 8], [70, 172, 29], [15, 32, 127]], * Val accuracy / confusion: 56.92% / [[154, 59, 17], [60, 92, 23], [21, 44, 50]] ------------------------------ Epoch 1010 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642680 - Iter 024 / 025, Loss: 0.633547 * Train accuracy / confusion: 78.00% / [[311, 33, 9], [68, 183, 19], [10, 37, 130]], * Val accuracy / confusion: 59.04% / [[164, 54, 12], [64, 94, 17], [20, 46, 49]] ------------------------------ Epoch 1011 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624033 - Iter 024 / 025, Loss: 0.521017 * Train accuracy / confusion: 75.12% / [[291, 49, 12], [72, 175, 22], [9, 35, 135]], * Val accuracy / confusion: 60.77% / [[157, 56, 17], [53, 100, 22], [12, 44, 59]] ------------------------------ Epoch 1012 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.551294 - Iter 024 / 025, Loss: 0.553683 * Train accuracy / confusion: 74.25% / [[291, 50, 12], [68, 170, 28], [13, 35, 133]], * Val accuracy / confusion: 59.42% / [[159, 60, 11], [53, 97, 25], [16, 46, 53]] ------------------------------ Epoch 1013 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545239 - Iter 024 / 025, Loss: 0.645172 * Train accuracy / confusion: 73.25% / [[296, 48, 11], [79, 162, 28], [12, 36, 128]], * Val accuracy / confusion: 55.19% / [[146, 72, 12], [64, 87, 24], [14, 47, 54]] ------------------------------ Epoch 1014 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562965 - Iter 024 / 025, Loss: 0.537765 * Train accuracy / confusion: 75.75% / [[290, 51, 14], [55, 194, 24], [10, 40, 122]], * Val accuracy / confusion: 56.73% / [[163, 56, 11], [75, 77, 23], [19, 41, 55]] ------------------------------ Epoch 1015 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511003 - Iter 024 / 025, Loss: 0.446083 * Train accuracy / confusion: 76.88% / [[308, 36, 13], [69, 176, 22], [13, 32, 131]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [61, 97, 17], [13, 53, 49]] ------------------------------ Epoch 1016 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.337557 - Iter 024 / 025, Loss: 0.609800 * Train accuracy / confusion: 76.88% / [[302, 42, 10], [70, 182, 20], [13, 30, 131]], * Val accuracy / confusion: 55.58% / [[154, 62, 14], [57, 84, 34], [19, 45, 51]] ------------------------------ Epoch 1017 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639675 - Iter 024 / 025, Loss: 0.637902 * Train accuracy / confusion: 76.00% / [[306, 39, 10], [68, 179, 22], [17, 36, 123]], * Val accuracy / confusion: 59.81% / [[163, 51, 16], [62, 87, 26], [16, 38, 61]] ------------------------------ Epoch 1018 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589750 - Iter 024 / 025, Loss: 0.586503 * Train accuracy / confusion: 73.88% / [[294, 54, 14], [68, 173, 22], [7, 44, 124]], * Val accuracy / confusion: 55.38% / [[140, 71, 19], [60, 99, 16], [16, 50, 49]] ------------------------------ Epoch 1019 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.693166 - Iter 024 / 025, Loss: 0.448685 * Train accuracy / confusion: 74.38% / [[295, 50, 10], [66, 177, 25], [15, 39, 123]], * Val accuracy / confusion: 57.31% / [[159, 56, 15], [64, 86, 25], [17, 45, 53]] ------------------------------ Epoch 1020 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.429170 - Iter 024 / 025, Loss: 0.513554 * Train accuracy / confusion: 75.50% / [[301, 44, 11], [61, 184, 23], [15, 42, 119]], * Val accuracy / confusion: 57.12% / [[155, 53, 22], [69, 87, 19], [17, 43, 55]] ------------------------------ Epoch 1021 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829151 - Iter 024 / 025, Loss: 0.607366 * Train accuracy / confusion: 76.12% / [[303, 44, 9], [56, 181, 31], [18, 33, 125]], * Val accuracy / confusion: 56.73% / [[159, 57, 14], [58, 85, 32], [14, 50, 51]] ------------------------------ Epoch 1022 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.418639 - Iter 024 / 025, Loss: 0.566821 * Train accuracy / confusion: 75.75% / [[291, 50, 17], [55, 190, 21], [12, 39, 125]], * Val accuracy / confusion: 56.54% / [[159, 50, 21], [70, 78, 27], [16, 42, 57]] ------------------------------ Epoch 1023 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.409673 - Iter 024 / 025, Loss: 0.574958 * Train accuracy / confusion: 75.00% / [[293, 57, 6], [58, 174, 36], [15, 28, 133]], * Val accuracy / confusion: 57.69% / [[161, 50, 19], [67, 82, 26], [19, 39, 57]] ------------------------------ Epoch 1024 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575540 - Iter 024 / 025, Loss: 0.638981 * Train accuracy / confusion: 74.50% / [[296, 53, 7], [72, 164, 27], [14, 31, 136]], * Val accuracy / confusion: 56.54% / [[164, 50, 16], [72, 82, 21], [17, 50, 48]] ------------------------------ Epoch 1025 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.673855 - Iter 024 / 025, Loss: 0.465232 * Train accuracy / confusion: 76.75% / [[304, 43, 11], [72, 180, 18], [15, 27, 130]], * Val accuracy / confusion: 54.04% / [[146, 63, 21], [67, 83, 25], [13, 50, 52]] ------------------------------ Epoch 1026 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.593302 - Iter 024 / 025, Loss: 0.520830 * Train accuracy / confusion: 76.00% / [[290, 50, 11], [68, 182, 23], [15, 25, 136]], * Val accuracy / confusion: 60.38% / [[163, 52, 15], [61, 92, 22], [19, 37, 59]] ------------------------------ Epoch 1027 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634270 - Iter 024 / 025, Loss: 0.508043 * Train accuracy / confusion: 76.38% / [[298, 54, 6], [63, 176, 27], [10, 29, 137]], * Val accuracy / confusion: 56.35% / [[158, 59, 13], [82, 79, 14], [22, 37, 56]] ------------------------------ Epoch 1028 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.392118 - Iter 024 / 025, Loss: 0.505350 * Train accuracy / confusion: 76.75% / [[305, 42, 6], [64, 175, 29], [14, 31, 134]], * Val accuracy / confusion: 57.12% / [[156, 55, 19], [64, 84, 27], [18, 40, 57]] ------------------------------ Epoch 1029 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476017 - Iter 024 / 025, Loss: 0.607516 * Train accuracy / confusion: 74.25% / [[287, 61, 10], [72, 179, 20], [11, 32, 128]], * Val accuracy / confusion: 55.96% / [[153, 63, 14], [65, 81, 29], [18, 40, 57]] ------------------------------ Epoch 1030 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.433849 - Iter 024 / 025, Loss: 0.628364 * Train accuracy / confusion: 75.50% / [[301, 48, 12], [59, 180, 31], [10, 36, 123]], * Val accuracy / confusion: 56.92% / [[146, 59, 25], [57, 90, 28], [15, 40, 60]] ------------------------------ Epoch 1031 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.796573 - Iter 024 / 025, Loss: 0.528016 * Train accuracy / confusion: 74.62% / [[292, 51, 12], [60, 179, 25], [16, 39, 126]], * Val accuracy / confusion: 54.04% / [[153, 60, 17], [75, 69, 31], [14, 42, 59]] ------------------------------ Epoch 1032 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.679571 - Iter 024 / 025, Loss: 0.532792 * Train accuracy / confusion: 72.88% / [[290, 57, 10], [63, 172, 30], [12, 45, 121]], * Val accuracy / confusion: 60.38% / [[161, 59, 10], [50, 93, 32], [19, 36, 60]] ------------------------------ Epoch 1033 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407801 - Iter 024 / 025, Loss: 0.536783 * Train accuracy / confusion: 75.12% / [[287, 54, 11], [62, 184, 23], [12, 37, 130]], * Val accuracy / confusion: 56.92% / [[152, 62, 16], [64, 89, 22], [15, 45, 55]] ------------------------------ Epoch 1034 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591499 - Iter 024 / 025, Loss: 0.488592 * Train accuracy / confusion: 74.38% / [[297, 43, 14], [67, 173, 28], [10, 43, 125]], * Val accuracy / confusion: 58.65% / [[162, 60, 8], [60, 91, 24], [18, 45, 52]] ------------------------------ Epoch 1035 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.572907 - Iter 024 / 025, Loss: 0.552609 * Train accuracy / confusion: 76.12% / [[298, 51, 9], [54, 183, 30], [12, 35, 128]], * Val accuracy / confusion: 58.27% / [[161, 52, 17], [70, 88, 17], [16, 45, 54]] ------------------------------ Epoch 1036 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428462 - Iter 024 / 025, Loss: 0.495181 * Train accuracy / confusion: 76.00% / [[294, 43, 13], [75, 177, 18], [11, 32, 137]], * Val accuracy / confusion: 60.77% / [[164, 57, 9], [59, 102, 14], [20, 45, 50]] ------------------------------ Epoch 1037 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736624 - Iter 024 / 025, Loss: 0.562227 * Train accuracy / confusion: 77.00% / [[303, 44, 10], [58, 184, 26], [14, 32, 129]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [58, 87, 30], [10, 49, 56]] ------------------------------ Epoch 1038 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469661 - Iter 024 / 025, Loss: 0.491812 * Train accuracy / confusion: 77.50% / [[310, 35, 10], [56, 187, 24], [16, 39, 123]], * Val accuracy / confusion: 57.88% / [[172, 47, 11], [72, 76, 27], [23, 39, 53]] ------------------------------ Epoch 1039 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628102 - Iter 024 / 025, Loss: 0.517770 * Train accuracy / confusion: 78.25% / [[307, 45, 7], [55, 188, 24], [12, 31, 131]], * Val accuracy / confusion: 60.00% / [[163, 54, 13], [58, 97, 20], [16, 47, 52]] ------------------------------ Epoch 1040 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.586825 - Iter 024 / 025, Loss: 0.646708 * Train accuracy / confusion: 74.25% / [[296, 54, 8], [69, 171, 28], [14, 33, 127]], * Val accuracy / confusion: 57.31% / [[155, 62, 13], [59, 89, 27], [21, 40, 54]] ------------------------------ Epoch 1041 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610295 - Iter 024 / 025, Loss: 0.504769 * Train accuracy / confusion: 76.12% / [[299, 49, 12], [68, 176, 21], [15, 26, 134]], * Val accuracy / confusion: 58.27% / [[166, 55, 9], [59, 85, 31], [17, 46, 52]] ------------------------------ Epoch 1042 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.648487 - Iter 024 / 025, Loss: 0.604745 * Train accuracy / confusion: 75.25% / [[288, 58, 13], [60, 186, 22], [9, 36, 128]], * Val accuracy / confusion: 55.58% / [[153, 59, 18], [61, 84, 30], [19, 44, 52]] ------------------------------ Epoch 1043 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501185 - Iter 024 / 025, Loss: 0.732005 * Train accuracy / confusion: 77.12% / [[299, 40, 10], [71, 181, 18], [16, 28, 137]], * Val accuracy / confusion: 57.31% / [[161, 60, 9], [66, 85, 24], [18, 45, 52]] ------------------------------ Epoch 1044 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.769374 - Iter 024 / 025, Loss: 0.562724 * Train accuracy / confusion: 75.12% / [[298, 47, 13], [67, 171, 24], [13, 35, 132]], * Val accuracy / confusion: 57.88% / [[156, 57, 17], [67, 80, 28], [15, 35, 65]] ------------------------------ Epoch 1045 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591134 - Iter 024 / 025, Loss: 0.720379 * Train accuracy / confusion: 77.38% / [[304, 46, 10], [61, 178, 30], [8, 26, 137]], * Val accuracy / confusion: 60.00% / [[160, 49, 21], [54, 91, 30], [12, 42, 61]] ------------------------------ Epoch 1046 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623766 - Iter 024 / 025, Loss: 0.386477 * Train accuracy / confusion: 76.50% / [[300, 47, 12], [59, 184, 23], [17, 30, 128]], * Val accuracy / confusion: 58.85% / [[154, 54, 22], [61, 91, 23], [13, 41, 61]] ------------------------------ Epoch 1047 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624596 - Iter 024 / 025, Loss: 0.578341 * Train accuracy / confusion: 74.62% / [[297, 45, 13], [61, 183, 23], [14, 47, 117]], * Val accuracy / confusion: 54.62% / [[154, 63, 13], [72, 84, 19], [22, 47, 46]] ------------------------------ Epoch 1048 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526988 - Iter 024 / 025, Loss: 0.578826 * Train accuracy / confusion: 76.38% / [[308, 38, 9], [57, 178, 32], [17, 36, 125]], * Val accuracy / confusion: 57.88% / [[162, 56, 12], [60, 85, 30], [20, 41, 54]] ------------------------------ Epoch 1049 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425833 - Iter 024 / 025, Loss: 0.726596 * Train accuracy / confusion: 76.75% / [[300, 43, 12], [65, 183, 21], [10, 35, 131]], * Val accuracy / confusion: 58.08% / [[159, 54, 17], [53, 96, 26], [21, 47, 47]] ------------------------------ Epoch 1050 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.792815 - Iter 024 / 025, Loss: 0.449692 * Train accuracy / confusion: 77.25% / [[304, 41, 11], [58, 191, 22], [14, 36, 123]], * Val accuracy / confusion: 59.04% / [[158, 58, 14], [56, 97, 22], [17, 46, 52]] ------------------------------ Epoch 1051 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460061 - Iter 024 / 025, Loss: 0.476159 * Train accuracy / confusion: 77.62% / [[306, 46, 7], [60, 183, 25], [13, 28, 132]], * Val accuracy / confusion: 60.19% / [[157, 56, 17], [59, 99, 17], [16, 42, 57]] ------------------------------ Epoch 1052 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631676 - Iter 024 / 025, Loss: 0.502422 * Train accuracy / confusion: 74.62% / [[296, 45, 14], [71, 171, 28], [13, 32, 130]], * Val accuracy / confusion: 58.46% / [[159, 59, 12], [58, 95, 22], [19, 46, 50]] ------------------------------ Epoch 1053 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.598438 - Iter 024 / 025, Loss: 0.555962 * Train accuracy / confusion: 76.38% / [[300, 47, 7], [64, 186, 15], [19, 37, 125]], * Val accuracy / confusion: 54.81% / [[155, 61, 14], [68, 85, 22], [24, 46, 45]] ------------------------------ Epoch 1054 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.552100 - Iter 024 / 025, Loss: 0.647013 * Train accuracy / confusion: 76.62% / [[304, 41, 12], [72, 171, 24], [9, 29, 138]], * Val accuracy / confusion: 56.54% / [[159, 51, 20], [71, 79, 25], [18, 41, 56]] ------------------------------ Epoch 1055 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.547077 - Iter 024 / 025, Loss: 0.537130 * Train accuracy / confusion: 74.50% / [[288, 57, 10], [63, 179, 27], [13, 34, 129]], * Val accuracy / confusion: 54.62% / [[150, 63, 17], [70, 77, 28], [17, 41, 57]] ------------------------------ Epoch 1056 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562838 - Iter 024 / 025, Loss: 0.911079 * Train accuracy / confusion: 76.00% / [[293, 54, 12], [60, 187, 18], [14, 34, 128]], * Val accuracy / confusion: 54.62% / [[146, 65, 19], [52, 87, 36], [15, 49, 51]] ------------------------------ Epoch 1057 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.496813 - Iter 024 / 025, Loss: 0.464443 * Train accuracy / confusion: 76.00% / [[304, 42, 9], [69, 181, 21], [10, 41, 123]], * Val accuracy / confusion: 56.73% / [[158, 50, 22], [56, 82, 37], [14, 46, 55]] ------------------------------ Epoch 1058 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645621 - Iter 024 / 025, Loss: 0.694318 * Train accuracy / confusion: 75.38% / [[298, 44, 14], [61, 178, 29], [18, 31, 127]], * Val accuracy / confusion: 57.69% / [[153, 63, 14], [52, 93, 30], [16, 45, 54]] ------------------------------ Epoch 1059 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444819 - Iter 024 / 025, Loss: 0.634482 * Train accuracy / confusion: 74.12% / [[294, 50, 15], [61, 178, 24], [15, 42, 121]], * Val accuracy / confusion: 56.92% / [[160, 51, 19], [62, 82, 31], [15, 46, 54]] ------------------------------ Epoch 1060 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511664 - Iter 024 / 025, Loss: 0.537963 * Train accuracy / confusion: 74.00% / [[291, 57, 11], [66, 174, 24], [16, 34, 127]], * Val accuracy / confusion: 57.50% / [[157, 52, 21], [64, 87, 24], [20, 40, 55]] ------------------------------ Epoch 1061 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535547 - Iter 024 / 025, Loss: 0.601379 * Train accuracy / confusion: 76.12% / [[298, 51, 4], [67, 173, 27], [8, 34, 138]], * Val accuracy / confusion: 55.38% / [[149, 59, 22], [68, 87, 20], [19, 44, 52]] ------------------------------ Epoch 1062 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.806442 - Iter 024 / 025, Loss: 0.444208 * Train accuracy / confusion: 76.25% / [[295, 48, 12], [66, 187, 14], [12, 38, 128]], * Val accuracy / confusion: 58.27% / [[162, 56, 12], [58, 90, 27], [16, 48, 51]] ------------------------------ Epoch 1063 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478861 - Iter 024 / 025, Loss: 0.398466 * Train accuracy / confusion: 77.00% / [[296, 44, 16], [55, 187, 23], [17, 29, 133]], * Val accuracy / confusion: 59.81% / [[155, 56, 19], [55, 95, 25], [17, 37, 61]] ------------------------------ Epoch 1064 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.714694 - Iter 024 / 025, Loss: 0.762439 * Train accuracy / confusion: 74.75% / [[299, 53, 5], [69, 175, 24], [19, 32, 124]], * Val accuracy / confusion: 59.42% / [[157, 56, 17], [63, 90, 22], [19, 34, 62]] ------------------------------ Epoch 1065 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388971 - Iter 024 / 025, Loss: 0.615474 * Train accuracy / confusion: 75.00% / [[297, 46, 8], [74, 170, 26], [15, 31, 133]], * Val accuracy / confusion: 59.23% / [[160, 51, 19], [58, 90, 27], [16, 41, 58]] ------------------------------ Epoch 1066 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526908 - Iter 024 / 025, Loss: 0.611909 * Train accuracy / confusion: 75.88% / [[300, 47, 10], [64, 174, 30], [11, 31, 133]], * Val accuracy / confusion: 59.42% / [[158, 56, 16], [52, 100, 23], [17, 47, 51]] ------------------------------ Epoch 1067 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425250 - Iter 024 / 025, Loss: 0.596474 * Train accuracy / confusion: 78.00% / [[311, 33, 9], [70, 175, 26], [10, 28, 138]], * Val accuracy / confusion: 59.81% / [[170, 48, 12], [57, 87, 31], [14, 47, 54]] ------------------------------ Epoch 1068 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676224 - Iter 024 / 025, Loss: 0.461882 * Train accuracy / confusion: 75.50% / [[292, 48, 12], [65, 180, 26], [10, 35, 132]], * Val accuracy / confusion: 56.73% / [[141, 69, 20], [49, 99, 27], [15, 45, 55]] ------------------------------ Epoch 1069 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.803390 - Iter 024 / 025, Loss: 0.499424 * Train accuracy / confusion: 74.38% / [[296, 49, 11], [68, 171, 27], [11, 39, 128]], * Val accuracy / confusion: 57.69% / [[152, 57, 21], [61, 89, 25], [24, 32, 59]] ------------------------------ Epoch 1070 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676238 - Iter 024 / 025, Loss: 0.598442 * Train accuracy / confusion: 75.62% / [[291, 52, 13], [56, 192, 22], [12, 40, 122]], * Val accuracy / confusion: 58.08% / [[157, 64, 9], [61, 98, 16], [19, 49, 47]] ------------------------------ Epoch 1071 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.678739 - Iter 024 / 025, Loss: 0.610083 * Train accuracy / confusion: 74.50% / [[287, 60, 12], [67, 178, 20], [13, 32, 131]], * Val accuracy / confusion: 56.92% / [[157, 62, 11], [60, 90, 25], [21, 45, 49]] ------------------------------ Epoch 1072 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494296 - Iter 024 / 025, Loss: 0.452111 * Train accuracy / confusion: 74.25% / [[301, 45, 11], [67, 172, 27], [18, 38, 121]], * Val accuracy / confusion: 59.62% / [[163, 54, 13], [63, 88, 24], [20, 36, 59]] ------------------------------ Epoch 1073 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.435040 - Iter 024 / 025, Loss: 0.632306 * Train accuracy / confusion: 76.00% / [[298, 40, 16], [69, 176, 23], [13, 31, 134]], * Val accuracy / confusion: 58.27% / [[165, 52, 13], [64, 78, 33], [17, 38, 60]] ------------------------------ Epoch 1074 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613836 - Iter 024 / 025, Loss: 0.730697 * Train accuracy / confusion: 75.38% / [[299, 48, 10], [68, 173, 26], [9, 36, 131]], * Val accuracy / confusion: 54.62% / [[145, 64, 21], [71, 84, 20], [15, 45, 55]] ------------------------------ Epoch 1075 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.438049 - Iter 024 / 025, Loss: 0.708127 * Train accuracy / confusion: 75.00% / [[284, 60, 10], [61, 184, 24], [20, 25, 132]], * Val accuracy / confusion: 58.85% / [[163, 49, 18], [61, 91, 23], [23, 40, 52]] ------------------------------ Epoch 1076 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709960 - Iter 024 / 025, Loss: 0.651553 * Train accuracy / confusion: 75.62% / [[289, 54, 10], [60, 184, 23], [12, 36, 132]], * Val accuracy / confusion: 59.42% / [[163, 52, 15], [61, 94, 20], [19, 44, 52]] ------------------------------ Epoch 1077 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.459100 - Iter 024 / 025, Loss: 0.485584 * Train accuracy / confusion: 73.50% / [[289, 61, 9], [67, 174, 24], [13, 38, 125]], * Val accuracy / confusion: 60.58% / [[162, 46, 22], [57, 101, 17], [13, 50, 52]] ------------------------------ Epoch 1078 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356385 - Iter 024 / 025, Loss: 0.421048 * Train accuracy / confusion: 78.62% / [[298, 45, 11], [54, 192, 22], [15, 24, 139]], * Val accuracy / confusion: 56.15% / [[156, 56, 18], [68, 78, 29], [20, 37, 58]] ------------------------------ Epoch 1079 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.849517 - Iter 024 / 025, Loss: 0.634061 * Train accuracy / confusion: 76.50% / [[297, 44, 15], [60, 182, 23], [12, 34, 133]], * Val accuracy / confusion: 57.50% / [[151, 59, 20], [61, 92, 22], [21, 38, 56]] ------------------------------ Epoch 1080 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.627184 - Iter 024 / 025, Loss: 0.490331 * Train accuracy / confusion: 78.38% / [[309, 39, 9], [64, 178, 25], [15, 21, 140]], * Val accuracy / confusion: 57.31% / [[162, 56, 12], [72, 81, 22], [20, 40, 55]] ------------------------------ Epoch 1081 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501941 - Iter 024 / 025, Loss: 0.417639 * Train accuracy / confusion: 78.12% / [[309, 33, 8], [57, 187, 26], [12, 39, 129]], * Val accuracy / confusion: 56.73% / [[154, 61, 15], [67, 85, 23], [17, 42, 56]] ------------------------------ Epoch 1082 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579869 - Iter 024 / 025, Loss: 0.602301 * Train accuracy / confusion: 73.00% / [[291, 55, 15], [74, 162, 27], [13, 32, 131]], * Val accuracy / confusion: 60.19% / [[156, 56, 18], [58, 98, 19], [20, 36, 59]] ------------------------------ Epoch 1083 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562865 - Iter 024 / 025, Loss: 0.508752 * Train accuracy / confusion: 77.12% / [[299, 41, 11], [68, 177, 23], [11, 29, 141]], * Val accuracy / confusion: 59.23% / [[160, 60, 10], [59, 92, 24], [20, 39, 56]] ------------------------------ Epoch 1084 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639905 - Iter 024 / 025, Loss: 0.808358 * Train accuracy / confusion: 74.50% / [[284, 61, 12], [69, 173, 25], [10, 27, 139]], * Val accuracy / confusion: 56.73% / [[145, 60, 25], [54, 85, 36], [17, 33, 65]] ------------------------------ Epoch 1085 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.681218 - Iter 024 / 025, Loss: 0.587675 * Train accuracy / confusion: 76.00% / [[300, 54, 4], [62, 179, 21], [10, 41, 129]], * Val accuracy / confusion: 57.69% / [[155, 52, 23], [51, 87, 37], [19, 38, 58]] ------------------------------ Epoch 1086 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606761 - Iter 024 / 025, Loss: 0.569554 * Train accuracy / confusion: 77.25% / [[295, 46, 15], [62, 187, 16], [18, 25, 136]], * Val accuracy / confusion: 58.85% / [[164, 55, 11], [66, 94, 15], [21, 46, 48]] ------------------------------ Epoch 1087 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.477402 - Iter 024 / 025, Loss: 0.484876 * Train accuracy / confusion: 77.00% / [[304, 42, 11], [61, 178, 28], [11, 31, 134]], * Val accuracy / confusion: 58.27% / [[154, 55, 21], [58, 88, 29], [14, 40, 61]] ------------------------------ Epoch 1088 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625031 - Iter 024 / 025, Loss: 0.477423 * Train accuracy / confusion: 76.38% / [[299, 50, 9], [56, 181, 28], [10, 36, 131]], * Val accuracy / confusion: 56.92% / [[157, 60, 13], [65, 89, 21], [20, 45, 50]] ------------------------------ Epoch 1089 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478017 - Iter 024 / 025, Loss: 0.409134 * Train accuracy / confusion: 77.88% / [[308, 39, 5], [65, 180, 24], [13, 31, 135]], * Val accuracy / confusion: 56.54% / [[153, 55, 22], [60, 83, 32], [16, 41, 58]] ------------------------------ Epoch 1090 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570845 - Iter 024 / 025, Loss: 0.350671 * Train accuracy / confusion: 73.12% / [[282, 57, 14], [72, 171, 24], [14, 34, 132]], * Val accuracy / confusion: 60.77% / [[156, 49, 25], [54, 98, 23], [14, 39, 62]] ------------------------------ Epoch 1091 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511427 - Iter 024 / 025, Loss: 0.556007 * Train accuracy / confusion: 75.38% / [[290, 55, 13], [60, 186, 22], [13, 34, 127]], * Val accuracy / confusion: 59.23% / [[156, 57, 17], [52, 90, 33], [17, 36, 62]] ------------------------------ Epoch 1092 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502270 - Iter 024 / 025, Loss: 0.470581 * Train accuracy / confusion: 76.12% / [[293, 52, 12], [62, 186, 23], [13, 29, 130]], * Val accuracy / confusion: 56.15% / [[157, 55, 18], [60, 89, 26], [14, 55, 46]] ------------------------------ Epoch 1093 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515512 - Iter 024 / 025, Loss: 0.373816 * Train accuracy / confusion: 74.12% / [[288, 53, 12], [67, 180, 26], [20, 29, 125]], * Val accuracy / confusion: 56.73% / [[156, 63, 11], [68, 87, 20], [22, 41, 52]] ------------------------------ Epoch 1094 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443649 - Iter 024 / 025, Loss: 0.425741 * Train accuracy / confusion: 76.75% / [[304, 44, 11], [62, 185, 22], [14, 33, 125]], * Val accuracy / confusion: 60.58% / [[161, 52, 17], [61, 91, 23], [12, 40, 63]] ------------------------------ Epoch 1095 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.593709 - Iter 024 / 025, Loss: 0.430505 * Train accuracy / confusion: 75.62% / [[298, 46, 9], [70, 182, 18], [16, 36, 125]], * Val accuracy / confusion: 57.50% / [[154, 56, 20], [58, 83, 34], [18, 35, 62]] ------------------------------ Epoch 1096 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400733 - Iter 024 / 025, Loss: 0.470233 * Train accuracy / confusion: 74.75% / [[302, 45, 13], [73, 168, 29], [12, 30, 128]], * Val accuracy / confusion: 60.96% / [[162, 50, 18], [64, 91, 20], [21, 30, 64]] ------------------------------ Epoch 1097 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.563778 - Iter 024 / 025, Loss: 0.644395 * Train accuracy / confusion: 76.38% / [[296, 47, 13], [65, 181, 20], [13, 31, 134]], * Val accuracy / confusion: 56.92% / [[158, 59, 13], [71, 86, 18], [19, 44, 52]] ------------------------------ Epoch 1098 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566238 - Iter 024 / 025, Loss: 0.739864 * Train accuracy / confusion: 75.62% / [[300, 50, 11], [67, 175, 23], [8, 36, 130]], * Val accuracy / confusion: 58.27% / [[165, 46, 19], [63, 82, 30], [19, 40, 56]] ------------------------------ Epoch 1099 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508182 - Iter 024 / 025, Loss: 0.556465 * Train accuracy / confusion: 73.88% / [[298, 39, 21], [67, 177, 28], [11, 43, 116]], * Val accuracy / confusion: 59.42% / [[151, 58, 21], [62, 94, 19], [18, 33, 64]] ------------------------------ Epoch 1100 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384799 - Iter 024 / 025, Loss: 0.514845 * Train accuracy / confusion: 75.50% / [[305, 42, 13], [75, 176, 16], [19, 31, 123]], * Val accuracy / confusion: 57.12% / [[155, 61, 14], [67, 85, 23], [21, 37, 57]] ------------------------------ Epoch 1101 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.812881 - Iter 024 / 025, Loss: 0.482119 * Train accuracy / confusion: 75.00% / [[299, 45, 8], [64, 181, 26], [21, 36, 120]], * Val accuracy / confusion: 57.12% / [[163, 51, 16], [76, 75, 24], [19, 37, 59]] ------------------------------ Epoch 1102 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.568294 - Iter 024 / 025, Loss: 0.466600 * Train accuracy / confusion: 74.25% / [[286, 59, 13], [60, 177, 29], [10, 35, 131]], * Val accuracy / confusion: 59.81% / [[166, 48, 16], [60, 89, 26], [13, 46, 56]] ------------------------------ Epoch 1103 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495386 - Iter 024 / 025, Loss: 0.638052 * Train accuracy / confusion: 74.62% / [[297, 45, 13], [67, 171, 31], [12, 35, 129]], * Val accuracy / confusion: 62.12% / [[170, 50, 10], [62, 95, 18], [19, 38, 58]] ------------------------------ Epoch 1104 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413433 - Iter 024 / 025, Loss: 0.407982 * Train accuracy / confusion: 75.38% / [[302, 37, 12], [70, 168, 30], [11, 37, 133]], * Val accuracy / confusion: 57.50% / [[162, 55, 13], [63, 92, 20], [17, 53, 45]] ------------------------------ Epoch 1105 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.456758 - Iter 024 / 025, Loss: 0.656037 * Train accuracy / confusion: 76.12% / [[298, 49, 11], [54, 186, 28], [17, 32, 125]], * Val accuracy / confusion: 54.04% / [[157, 61, 12], [78, 72, 25], [19, 44, 52]] ------------------------------ Epoch 1106 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.611368 - Iter 024 / 025, Loss: 0.490502 * Train accuracy / confusion: 76.88% / [[304, 44, 9], [51, 191, 26], [16, 39, 120]], * Val accuracy / confusion: 56.73% / [[152, 60, 18], [63, 87, 25], [16, 43, 56]] ------------------------------ Epoch 1107 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570655 - Iter 024 / 025, Loss: 0.647711 * Train accuracy / confusion: 76.12% / [[310, 42, 9], [65, 170, 23], [11, 41, 129]], * Val accuracy / confusion: 56.73% / [[161, 58, 11], [69, 86, 20], [22, 45, 48]] ------------------------------ Epoch 1108 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.962779 - Iter 024 / 025, Loss: 0.656050 * Train accuracy / confusion: 75.75% / [[300, 46, 9], [68, 175, 25], [14, 32, 131]], * Val accuracy / confusion: 56.35% / [[158, 53, 19], [61, 80, 34], [20, 40, 55]] ------------------------------ Epoch 1109 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444183 - Iter 024 / 025, Loss: 0.551324 * Train accuracy / confusion: 76.75% / [[308, 44, 9], [61, 181, 26], [15, 31, 125]], * Val accuracy / confusion: 58.27% / [[159, 56, 15], [64, 89, 22], [21, 39, 55]] ------------------------------ Epoch 1110 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412191 - Iter 024 / 025, Loss: 0.511485 * Train accuracy / confusion: 77.12% / [[300, 45, 11], [65, 184, 17], [15, 30, 133]], * Val accuracy / confusion: 58.46% / [[164, 50, 16], [62, 93, 20], [20, 48, 47]] ------------------------------ Epoch 1111 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607831 - Iter 024 / 025, Loss: 0.612964 * Train accuracy / confusion: 77.50% / [[301, 49, 5], [68, 187, 16], [8, 34, 132]], * Val accuracy / confusion: 58.46% / [[159, 52, 19], [59, 89, 27], [16, 43, 56]] ------------------------------ Epoch 1112 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468474 - Iter 024 / 025, Loss: 0.533868 * Train accuracy / confusion: 76.62% / [[301, 47, 6], [61, 184, 22], [13, 38, 128]], * Val accuracy / confusion: 58.46% / [[148, 64, 18], [57, 100, 18], [19, 40, 56]] ------------------------------ Epoch 1113 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557142 - Iter 024 / 025, Loss: 0.520848 * Train accuracy / confusion: 75.62% / [[306, 32, 17], [62, 174, 31], [14, 39, 125]], * Val accuracy / confusion: 57.31% / [[160, 56, 14], [67, 82, 26], [14, 45, 56]] ------------------------------ Epoch 1114 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554364 - Iter 024 / 025, Loss: 0.461342 * Train accuracy / confusion: 77.62% / [[304, 44, 6], [60, 188, 24], [11, 34, 129]], * Val accuracy / confusion: 54.23% / [[140, 72, 18], [59, 90, 26], [17, 46, 52]] ------------------------------ Epoch 1115 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470900 - Iter 024 / 025, Loss: 0.528508 * Train accuracy / confusion: 75.38% / [[301, 48, 9], [69, 168, 28], [11, 32, 134]], * Val accuracy / confusion: 57.69% / [[151, 58, 21], [52, 93, 30], [18, 41, 56]] ------------------------------ Epoch 1116 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.569151 - Iter 024 / 025, Loss: 0.475535 * Train accuracy / confusion: 75.25% / [[299, 48, 10], [69, 171, 25], [16, 30, 132]], * Val accuracy / confusion: 56.92% / [[157, 58, 15], [65, 90, 20], [21, 45, 49]] ------------------------------ Epoch 1117 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583585 - Iter 024 / 025, Loss: 0.554082 * Train accuracy / confusion: 77.25% / [[303, 42, 13], [58, 178, 26], [10, 33, 137]], * Val accuracy / confusion: 58.46% / [[150, 66, 14], [54, 103, 18], [22, 42, 51]] ------------------------------ Epoch 1118 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553293 - Iter 024 / 025, Loss: 0.451936 * Train accuracy / confusion: 72.62% / [[291, 59, 11], [71, 167, 29], [20, 29, 123]], * Val accuracy / confusion: 60.19% / [[154, 56, 20], [54, 96, 25], [15, 37, 63]] ------------------------------ Epoch 1119 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441071 - Iter 024 / 025, Loss: 0.497370 * Train accuracy / confusion: 80.00% / [[311, 39, 8], [61, 191, 16], [18, 18, 138]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [64, 89, 22], [19, 45, 51]] ------------------------------ Epoch 1120 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562228 - Iter 024 / 025, Loss: 0.648732 * Train accuracy / confusion: 72.88% / [[292, 47, 12], [80, 167, 25], [12, 41, 124]], * Val accuracy / confusion: 58.85% / [[166, 51, 13], [63, 84, 28], [17, 42, 56]] ------------------------------ Epoch 1121 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524212 - Iter 024 / 025, Loss: 0.455430 * Train accuracy / confusion: 74.00% / [[300, 46, 15], [73, 165, 25], [14, 35, 127]], * Val accuracy / confusion: 56.54% / [[160, 55, 15], [69, 82, 24], [14, 49, 52]] ------------------------------ Epoch 1122 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.410113 - Iter 024 / 025, Loss: 0.547566 * Train accuracy / confusion: 77.75% / [[301, 48, 7], [56, 183, 27], [17, 23, 138]], * Val accuracy / confusion: 57.69% / [[162, 56, 12], [70, 86, 19], [18, 45, 52]] ------------------------------ Epoch 1123 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604440 - Iter 024 / 025, Loss: 0.442897 * Train accuracy / confusion: 76.50% / [[295, 49, 10], [57, 187, 29], [16, 27, 130]], * Val accuracy / confusion: 59.62% / [[163, 53, 14], [61, 85, 29], [18, 35, 62]] ------------------------------ Epoch 1124 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508867 - Iter 024 / 025, Loss: 0.523410 * Train accuracy / confusion: 76.50% / [[307, 36, 15], [60, 184, 27], [12, 38, 121]], * Val accuracy / confusion: 58.08% / [[151, 61, 18], [55, 96, 24], [16, 44, 55]] ------------------------------ Epoch 1125 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610715 - Iter 024 / 025, Loss: 0.686902 * Train accuracy / confusion: 73.25% / [[305, 45, 9], [75, 165, 29], [14, 42, 116]], * Val accuracy / confusion: 55.96% / [[152, 67, 11], [66, 90, 19], [19, 47, 49]] ------------------------------ Epoch 1126 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479885 - Iter 024 / 025, Loss: 0.579394 * Train accuracy / confusion: 77.38% / [[295, 47, 10], [66, 188, 17], [6, 35, 136]], * Val accuracy / confusion: 55.58% / [[156, 59, 15], [74, 80, 21], [19, 43, 53]] ------------------------------ Epoch 1127 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691127 - Iter 024 / 025, Loss: 0.462413 * Train accuracy / confusion: 75.75% / [[300, 52, 7], [63, 179, 24], [17, 31, 127]], * Val accuracy / confusion: 56.15% / [[157, 66, 7], [69, 87, 19], [16, 51, 48]] ------------------------------ Epoch 1128 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.338023 - Iter 024 / 025, Loss: 0.583709 * Train accuracy / confusion: 76.00% / [[305, 41, 12], [73, 172, 23], [12, 31, 131]], * Val accuracy / confusion: 56.15% / [[161, 54, 15], [73, 84, 18], [22, 46, 47]] ------------------------------ Epoch 1129 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483223 - Iter 024 / 025, Loss: 0.520162 * Train accuracy / confusion: 75.38% / [[304, 40, 11], [67, 180, 22], [17, 40, 119]], * Val accuracy / confusion: 58.65% / [[161, 51, 18], [65, 88, 22], [18, 41, 56]] ------------------------------ Epoch 1130 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442883 - Iter 024 / 025, Loss: 0.590014 * Train accuracy / confusion: 74.62% / [[292, 45, 19], [61, 179, 26], [12, 40, 126]], * Val accuracy / confusion: 58.08% / [[157, 54, 19], [59, 89, 27], [21, 38, 56]] ------------------------------ Epoch 1131 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508790 - Iter 024 / 025, Loss: 0.456579 * Train accuracy / confusion: 77.25% / [[304, 35, 16], [69, 184, 15], [12, 35, 130]], * Val accuracy / confusion: 57.69% / [[165, 50, 15], [74, 80, 21], [18, 42, 55]] ------------------------------ Epoch 1132 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485151 - Iter 024 / 025, Loss: 0.709433 * Train accuracy / confusion: 76.25% / [[303, 42, 11], [70, 176, 22], [12, 33, 131]], * Val accuracy / confusion: 56.54% / [[156, 55, 19], [60, 88, 27], [18, 47, 50]] ------------------------------ Epoch 1133 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494107 - Iter 024 / 025, Loss: 0.551809 * Train accuracy / confusion: 76.25% / [[295, 53, 9], [65, 177, 23], [13, 27, 138]], * Val accuracy / confusion: 55.96% / [[159, 61, 10], [65, 82, 28], [23, 42, 50]] ------------------------------ Epoch 1134 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.497633 - Iter 024 / 025, Loss: 0.763194 * Train accuracy / confusion: 76.62% / [[295, 50, 8], [63, 185, 20], [15, 31, 133]], * Val accuracy / confusion: 60.38% / [[170, 45, 15], [68, 88, 19], [17, 42, 56]] ------------------------------ Epoch 1135 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746362 - Iter 024 / 025, Loss: 0.494773 * Train accuracy / confusion: 75.88% / [[307, 36, 11], [63, 172, 32], [13, 38, 128]], * Val accuracy / confusion: 57.12% / [[158, 53, 19], [65, 83, 27], [18, 41, 56]] ------------------------------ Epoch 1136 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555666 - Iter 024 / 025, Loss: 0.697447 * Train accuracy / confusion: 75.62% / [[297, 48, 11], [65, 177, 27], [12, 32, 131]], * Val accuracy / confusion: 57.12% / [[149, 63, 18], [64, 89, 22], [19, 37, 59]] ------------------------------ Epoch 1137 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543261 - Iter 024 / 025, Loss: 0.438891 * Train accuracy / confusion: 76.00% / [[302, 45, 10], [69, 174, 25], [15, 28, 132]], * Val accuracy / confusion: 56.54% / [[158, 56, 16], [65, 80, 30], [20, 39, 56]] ------------------------------ Epoch 1138 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579588 - Iter 024 / 025, Loss: 0.627560 * Train accuracy / confusion: 76.62% / [[309, 41, 9], [65, 183, 23], [11, 38, 121]], * Val accuracy / confusion: 56.54% / [[150, 59, 21], [64, 86, 25], [13, 44, 58]] ------------------------------ Epoch 1139 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402026 - Iter 024 / 025, Loss: 0.651761 * Train accuracy / confusion: 77.50% / [[305, 38, 13], [62, 188, 19], [16, 32, 127]], * Val accuracy / confusion: 60.00% / [[157, 59, 14], [58, 93, 24], [13, 40, 62]] ------------------------------ Epoch 1140 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.417955 - Iter 024 / 025, Loss: 0.594053 * Train accuracy / confusion: 76.25% / [[303, 47, 8], [59, 182, 24], [15, 37, 125]], * Val accuracy / confusion: 57.12% / [[165, 55, 10], [70, 84, 21], [16, 51, 48]] ------------------------------ Epoch 1141 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.798894 - Iter 024 / 025, Loss: 0.401415 * Train accuracy / confusion: 75.38% / [[287, 48, 18], [67, 185, 20], [13, 31, 131]], * Val accuracy / confusion: 57.12% / [[153, 58, 19], [62, 86, 27], [16, 41, 58]] ------------------------------ Epoch 1142 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441894 - Iter 024 / 025, Loss: 0.633874 * Train accuracy / confusion: 76.38% / [[296, 53, 9], [63, 183, 19], [12, 33, 132]], * Val accuracy / confusion: 59.42% / [[163, 48, 19], [67, 94, 14], [15, 48, 52]] ------------------------------ Epoch 1143 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447493 - Iter 024 / 025, Loss: 0.666664 * Train accuracy / confusion: 77.75% / [[309, 44, 6], [66, 183, 16], [16, 30, 130]], * Val accuracy / confusion: 55.19% / [[158, 50, 22], [67, 71, 37], [18, 39, 58]] ------------------------------ Epoch 1144 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414611 - Iter 024 / 025, Loss: 0.574463 * Train accuracy / confusion: 74.25% / [[292, 56, 8], [70, 175, 22], [16, 34, 127]], * Val accuracy / confusion: 58.85% / [[160, 54, 16], [59, 89, 27], [22, 36, 57]] ------------------------------ Epoch 1145 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621625 - Iter 024 / 025, Loss: 0.736072 * Train accuracy / confusion: 76.75% / [[301, 43, 12], [64, 179, 26], [14, 27, 134]], * Val accuracy / confusion: 54.81% / [[157, 57, 16], [74, 81, 20], [19, 49, 47]] ------------------------------ Epoch 1146 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634998 - Iter 024 / 025, Loss: 0.611619 * Train accuracy / confusion: 76.12% / [[299, 50, 11], [66, 178, 23], [11, 30, 132]], * Val accuracy / confusion: 57.12% / [[153, 61, 16], [63, 84, 28], [20, 35, 60]] ------------------------------ Epoch 1147 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936728 - Iter 024 / 025, Loss: 0.449117 * Train accuracy / confusion: 74.00% / [[288, 60, 8], [66, 177, 26], [16, 32, 127]], * Val accuracy / confusion: 57.50% / [[158, 58, 14], [62, 88, 25], [10, 52, 53]] ------------------------------ Epoch 1148 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672909 - Iter 024 / 025, Loss: 0.299047 * Train accuracy / confusion: 77.38% / [[296, 46, 8], [66, 194, 11], [17, 33, 129]], * Val accuracy / confusion: 57.50% / [[160, 52, 18], [60, 86, 29], [21, 41, 53]] ------------------------------ Epoch 1149 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446753 - Iter 024 / 025, Loss: 0.783472 * Train accuracy / confusion: 76.00% / [[299, 41, 15], [62, 179, 27], [15, 32, 130]], * Val accuracy / confusion: 58.46% / [[162, 51, 17], [62, 82, 31], [18, 37, 60]] ------------------------------ Epoch 1150 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504694 - Iter 024 / 025, Loss: 0.413166 * Train accuracy / confusion: 78.50% / [[303, 46, 9], [60, 186, 18], [11, 28, 139]], * Val accuracy / confusion: 54.62% / [[146, 62, 22], [61, 88, 26], [20, 45, 50]] ------------------------------ Epoch 1151 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500762 - Iter 024 / 025, Loss: 0.540595 * Train accuracy / confusion: 77.00% / [[304, 42, 10], [66, 179, 23], [11, 32, 133]], * Val accuracy / confusion: 58.65% / [[158, 55, 17], [64, 96, 15], [24, 40, 51]] ------------------------------ Epoch 1152 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.571180 - Iter 024 / 025, Loss: 0.576923 * Train accuracy / confusion: 76.88% / [[304, 44, 8], [66, 182, 22], [12, 33, 129]], * Val accuracy / confusion: 59.04% / [[168, 56, 6], [67, 90, 18], [18, 48, 49]] ------------------------------ Epoch 1153 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.505579 - Iter 024 / 025, Loss: 0.474614 * Train accuracy / confusion: 77.12% / [[301, 50, 8], [55, 185, 27], [11, 32, 131]], * Val accuracy / confusion: 56.54% / [[153, 67, 10], [59, 92, 24], [12, 54, 49]] ------------------------------ Epoch 1154 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494666 - Iter 024 / 025, Loss: 0.416607 * Train accuracy / confusion: 76.75% / [[294, 50, 12], [62, 189, 20], [8, 34, 131]], * Val accuracy / confusion: 58.27% / [[159, 52, 19], [65, 84, 26], [18, 37, 60]] ------------------------------ Epoch 1155 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709777 - Iter 024 / 025, Loss: 0.496640 * Train accuracy / confusion: 74.00% / [[291, 52, 15], [53, 182, 34], [16, 38, 119]], * Val accuracy / confusion: 56.15% / [[157, 54, 19], [64, 77, 34], [15, 42, 58]] ------------------------------ Epoch 1156 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528451 - Iter 024 / 025, Loss: 0.651196 * Train accuracy / confusion: 74.38% / [[304, 49, 8], [74, 166, 23], [15, 36, 125]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [65, 87, 23], [23, 49, 43]] ------------------------------ Epoch 1157 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665455 - Iter 024 / 025, Loss: 0.378554 * Train accuracy / confusion: 75.12% / [[295, 49, 12], [69, 176, 22], [15, 32, 130]], * Val accuracy / confusion: 59.42% / [[165, 51, 14], [63, 85, 27], [17, 39, 59]] ------------------------------ Epoch 1158 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.546117 - Iter 024 / 025, Loss: 0.738931 * Train accuracy / confusion: 77.38% / [[300, 46, 10], [63, 181, 20], [12, 30, 138]], * Val accuracy / confusion: 58.08% / [[157, 59, 14], [61, 92, 22], [19, 43, 53]] ------------------------------ Epoch 1159 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501791 - Iter 024 / 025, Loss: 0.618888 * Train accuracy / confusion: 78.12% / [[306, 43, 10], [63, 185, 18], [14, 27, 134]], * Val accuracy / confusion: 60.00% / [[165, 52, 13], [58, 88, 29], [12, 44, 59]] ------------------------------ Epoch 1160 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631366 - Iter 024 / 025, Loss: 0.574815 * Train accuracy / confusion: 73.75% / [[290, 56, 13], [70, 170, 26], [18, 27, 130]], * Val accuracy / confusion: 56.54% / [[157, 58, 15], [66, 82, 27], [15, 45, 55]] ------------------------------ Epoch 1161 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595789 - Iter 024 / 025, Loss: 0.463903 * Train accuracy / confusion: 76.62% / [[299, 47, 9], [67, 177, 23], [9, 32, 137]], * Val accuracy / confusion: 59.04% / [[159, 56, 15], [58, 98, 19], [16, 49, 50]] ------------------------------ Epoch 1162 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642639 - Iter 024 / 025, Loss: 0.324691 * Train accuracy / confusion: 76.25% / [[300, 49, 11], [65, 181, 20], [15, 30, 129]], * Val accuracy / confusion: 60.19% / [[164, 49, 17], [59, 90, 26], [20, 36, 59]] ------------------------------ Epoch 1163 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630458 - Iter 024 / 025, Loss: 0.544509 * Train accuracy / confusion: 76.50% / [[299, 47, 12], [64, 180, 23], [12, 30, 133]], * Val accuracy / confusion: 56.35% / [[159, 62, 9], [69, 79, 27], [18, 42, 55]] ------------------------------ Epoch 1164 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431673 - Iter 024 / 025, Loss: 0.468627 * Train accuracy / confusion: 74.75% / [[290, 60, 6], [74, 174, 19], [12, 31, 134]], * Val accuracy / confusion: 58.08% / [[150, 64, 16], [56, 99, 20], [16, 46, 53]] ------------------------------ Epoch 1165 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591116 - Iter 024 / 025, Loss: 0.489263 * Train accuracy / confusion: 75.62% / [[300, 43, 13], [69, 175, 27], [11, 32, 130]], * Val accuracy / confusion: 59.23% / [[162, 54, 14], [61, 90, 24], [13, 46, 56]] ------------------------------ Epoch 1166 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579269 - Iter 024 / 025, Loss: 0.420706 * Train accuracy / confusion: 77.12% / [[309, 45, 6], [63, 178, 21], [14, 34, 130]], * Val accuracy / confusion: 59.42% / [[162, 58, 10], [60, 93, 22], [18, 43, 54]] ------------------------------ Epoch 1167 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620354 - Iter 024 / 025, Loss: 0.465276 * Train accuracy / confusion: 76.00% / [[302, 40, 10], [71, 175, 25], [16, 30, 131]], * Val accuracy / confusion: 57.50% / [[156, 55, 19], [62, 84, 29], [20, 36, 59]] ------------------------------ Epoch 1168 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618620 - Iter 024 / 025, Loss: 0.699066 * Train accuracy / confusion: 75.25% / [[295, 47, 13], [63, 178, 26], [19, 30, 129]], * Val accuracy / confusion: 57.12% / [[158, 53, 19], [67, 85, 23], [18, 43, 54]] ------------------------------ Epoch 1169 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.462965 - Iter 024 / 025, Loss: 0.675636 * Train accuracy / confusion: 77.38% / [[300, 44, 10], [59, 182, 27], [14, 27, 137]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [55, 87, 33], [19, 37, 59]] ------------------------------ Epoch 1170 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.641848 - Iter 024 / 025, Loss: 0.572567 * Train accuracy / confusion: 76.38% / [[301, 45, 9], [59, 177, 31], [14, 31, 133]], * Val accuracy / confusion: 57.50% / [[163, 52, 15], [73, 76, 26], [22, 33, 60]] ------------------------------ Epoch 1171 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556844 - Iter 024 / 025, Loss: 0.542536 * Train accuracy / confusion: 74.12% / [[296, 54, 11], [71, 169, 24], [19, 28, 128]], * Val accuracy / confusion: 58.85% / [[155, 65, 10], [61, 95, 19], [15, 44, 56]] ------------------------------ Epoch 1172 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458819 - Iter 024 / 025, Loss: 0.607749 * Train accuracy / confusion: 77.75% / [[305, 40, 14], [56, 190, 21], [14, 33, 127]], * Val accuracy / confusion: 59.23% / [[165, 52, 13], [64, 88, 23], [17, 43, 55]] ------------------------------ Epoch 1173 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639722 - Iter 024 / 025, Loss: 0.505072 * Train accuracy / confusion: 76.38% / [[286, 57, 9], [69, 185, 17], [9, 28, 140]], * Val accuracy / confusion: 57.50% / [[158, 57, 15], [70, 84, 21], [17, 41, 57]] ------------------------------ Epoch 1174 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388303 - Iter 024 / 025, Loss: 0.577619 * Train accuracy / confusion: 76.38% / [[299, 45, 15], [62, 183, 20], [16, 31, 129]], * Val accuracy / confusion: 58.65% / [[154, 62, 14], [57, 94, 24], [21, 37, 57]] ------------------------------ Epoch 1175 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.706261 - Iter 024 / 025, Loss: 0.471660 * Train accuracy / confusion: 76.88% / [[292, 45, 11], [56, 193, 23], [14, 36, 130]], * Val accuracy / confusion: 58.08% / [[163, 53, 14], [68, 82, 25], [15, 43, 57]] ------------------------------ Epoch 1176 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413228 - Iter 024 / 025, Loss: 0.681106 * Train accuracy / confusion: 77.00% / [[293, 49, 16], [65, 182, 17], [11, 26, 141]], * Val accuracy / confusion: 60.96% / [[162, 53, 15], [49, 95, 31], [16, 39, 60]] ------------------------------ Epoch 1177 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687772 - Iter 024 / 025, Loss: 0.499008 * Train accuracy / confusion: 75.25% / [[296, 59, 7], [66, 175, 20], [10, 36, 131]], * Val accuracy / confusion: 58.27% / [[163, 49, 18], [64, 89, 22], [18, 46, 51]] ------------------------------ Epoch 1178 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.564272 - Iter 024 / 025, Loss: 0.587565 * Train accuracy / confusion: 77.12% / [[302, 42, 11], [66, 182, 20], [18, 26, 133]], * Val accuracy / confusion: 59.04% / [[154, 59, 17], [63, 89, 23], [10, 41, 64]] ------------------------------ Epoch 1179 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536710 - Iter 024 / 025, Loss: 0.331403 * Train accuracy / confusion: 75.75% / [[296, 49, 13], [65, 175, 27], [14, 26, 135]], * Val accuracy / confusion: 56.92% / [[153, 64, 13], [58, 89, 28], [18, 43, 54]] ------------------------------ Epoch 1180 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411490 - Iter 024 / 025, Loss: 0.465373 * Train accuracy / confusion: 75.00% / [[291, 52, 11], [70, 174, 22], [10, 35, 135]], * Val accuracy / confusion: 54.42% / [[149, 55, 26], [58, 84, 33], [18, 47, 50]] ------------------------------ Epoch 1181 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630350 - Iter 024 / 025, Loss: 0.479583 * Train accuracy / confusion: 76.62% / [[299, 47, 7], [67, 176, 25], [11, 30, 138]], * Val accuracy / confusion: 60.58% / [[164, 47, 19], [58, 93, 24], [18, 39, 58]] ------------------------------ Epoch 1182 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524768 - Iter 024 / 025, Loss: 0.400754 * Train accuracy / confusion: 77.62% / [[309, 39, 6], [67, 176, 26], [12, 29, 136]], * Val accuracy / confusion: 59.62% / [[160, 52, 18], [59, 86, 30], [17, 34, 64]] ------------------------------ Epoch 1183 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.086470 - Iter 024 / 025, Loss: 0.608272 * Train accuracy / confusion: 75.50% / [[291, 52, 13], [55, 189, 23], [13, 40, 124]], * Val accuracy / confusion: 58.46% / [[154, 59, 17], [59, 97, 19], [18, 44, 53]] ------------------------------ Epoch 1184 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712334 - Iter 024 / 025, Loss: 0.486571 * Train accuracy / confusion: 76.62% / [[293, 54, 9], [57, 185, 27], [8, 32, 135]], * Val accuracy / confusion: 59.23% / [[163, 47, 20], [61, 90, 24], [23, 37, 55]] ------------------------------ Epoch 1185 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502198 - Iter 024 / 025, Loss: 0.592228 * Train accuracy / confusion: 76.12% / [[300, 42, 11], [72, 170, 27], [6, 33, 139]], * Val accuracy / confusion: 57.12% / [[161, 55, 14], [76, 81, 18], [14, 46, 55]] ------------------------------ Epoch 1186 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.605104 - Iter 024 / 025, Loss: 0.845028 * Train accuracy / confusion: 74.88% / [[295, 51, 12], [72, 179, 17], [17, 32, 125]], * Val accuracy / confusion: 57.69% / [[152, 58, 20], [56, 88, 31], [16, 39, 60]] ------------------------------ Epoch 1187 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.459265 - Iter 024 / 025, Loss: 0.787048 * Train accuracy / confusion: 75.88% / [[303, 43, 11], [71, 175, 21], [12, 35, 129]], * Val accuracy / confusion: 56.54% / [[154, 62, 14], [59, 95, 21], [20, 50, 45]] ------------------------------ Epoch 1188 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454572 - Iter 024 / 025, Loss: 0.448958 * Train accuracy / confusion: 74.00% / [[287, 56, 15], [73, 176, 18], [16, 30, 129]], * Val accuracy / confusion: 58.46% / [[165, 53, 12], [68, 81, 26], [18, 39, 58]] ------------------------------ Epoch 1189 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.671052 - Iter 024 / 025, Loss: 0.428632 * Train accuracy / confusion: 77.00% / [[308, 48, 8], [58, 184, 22], [12, 36, 124]], * Val accuracy / confusion: 58.85% / [[165, 55, 10], [67, 88, 20], [18, 44, 53]] ------------------------------ Epoch 1190 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548720 - Iter 024 / 025, Loss: 0.498878 * Train accuracy / confusion: 77.50% / [[301, 45, 8], [59, 183, 26], [11, 31, 136]], * Val accuracy / confusion: 57.31% / [[155, 61, 14], [63, 93, 19], [17, 48, 50]] ------------------------------ Epoch 1191 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482292 - Iter 024 / 025, Loss: 0.529190 * Train accuracy / confusion: 78.00% / [[300, 45, 12], [58, 193, 16], [12, 33, 131]], * Val accuracy / confusion: 57.69% / [[154, 60, 16], [66, 90, 19], [16, 43, 56]] ------------------------------ Epoch 1192 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.560257 - Iter 024 / 025, Loss: 0.430920 * Train accuracy / confusion: 75.75% / [[300, 48, 9], [66, 175, 29], [7, 35, 131]], * Val accuracy / confusion: 57.69% / [[154, 62, 14], [55, 96, 24], [19, 46, 50]] ------------------------------ Epoch 1193 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555352 - Iter 024 / 025, Loss: 0.538523 * Train accuracy / confusion: 74.75% / [[287, 51, 16], [69, 175, 24], [16, 26, 136]], * Val accuracy / confusion: 58.85% / [[154, 56, 20], [56, 95, 24], [19, 39, 57]] ------------------------------ Epoch 1194 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476561 - Iter 024 / 025, Loss: 0.561285 * Train accuracy / confusion: 77.38% / [[315, 34, 10], [62, 173, 29], [15, 31, 131]], * Val accuracy / confusion: 56.15% / [[147, 64, 19], [63, 89, 23], [16, 43, 56]] ------------------------------ Epoch 1195 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494410 - Iter 024 / 025, Loss: 0.514826 * Train accuracy / confusion: 76.25% / [[297, 48, 6], [76, 173, 23], [4, 33, 140]], * Val accuracy / confusion: 57.31% / [[155, 60, 15], [56, 90, 29], [18, 44, 53]] ------------------------------ Epoch 1196 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402626 - Iter 024 / 025, Loss: 0.505120 * Train accuracy / confusion: 77.38% / [[301, 47, 6], [63, 179, 26], [7, 32, 139]], * Val accuracy / confusion: 55.38% / [[145, 67, 18], [65, 84, 26], [16, 40, 59]] ------------------------------ Epoch 1197 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.492918 - Iter 024 / 025, Loss: 0.528695 * Train accuracy / confusion: 76.12% / [[292, 52, 8], [66, 177, 30], [8, 27, 140]], * Val accuracy / confusion: 58.08% / [[161, 48, 21], [67, 89, 19], [18, 45, 52]] ------------------------------ Epoch 1198 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559679 - Iter 024 / 025, Loss: 0.504705 * Train accuracy / confusion: 76.88% / [[301, 42, 8], [66, 181, 23], [12, 34, 133]], * Val accuracy / confusion: 57.50% / [[163, 54, 13], [61, 87, 27], [17, 49, 49]] ------------------------------ Epoch 1199 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577691 - Iter 024 / 025, Loss: 0.548669 * Train accuracy / confusion: 77.25% / [[300, 52, 7], [60, 185, 23], [8, 32, 133]], * Val accuracy / confusion: 58.85% / [[162, 55, 13], [61, 90, 24], [16, 45, 54]] ------------------------------ Epoch 1200 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482749 - Iter 024 / 025, Loss: 0.485984 * Train accuracy / confusion: 79.50% / [[314, 42, 4], [56, 187, 20], [14, 28, 135]], * Val accuracy / confusion: 55.58% / [[158, 54, 18], [70, 81, 24], [17, 48, 50]] ------------------------------ Epoch 1201 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672961 - Iter 024 / 025, Loss: 0.585964 * Train accuracy / confusion: 77.75% / [[294, 49, 12], [65, 183, 17], [11, 24, 145]], * Val accuracy / confusion: 60.38% / [[152, 63, 15], [56, 102, 17], [17, 38, 60]] ------------------------------ Epoch 1202 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552799 - Iter 024 / 025, Loss: 0.637440 * Train accuracy / confusion: 76.12% / [[297, 45, 13], [66, 186, 18], [13, 36, 126]], * Val accuracy / confusion: 55.00% / [[154, 52, 24], [61, 83, 31], [13, 53, 49]] ------------------------------ Epoch 1203 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.544986 - Iter 024 / 025, Loss: 0.484410 * Train accuracy / confusion: 75.12% / [[294, 50, 13], [60, 182, 27], [13, 36, 125]], * Val accuracy / confusion: 56.15% / [[154, 57, 19], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 1204 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.549390 - Iter 024 / 025, Loss: 0.490833 * Train accuracy / confusion: 76.25% / [[300, 55, 6], [72, 170, 22], [9, 26, 140]], * Val accuracy / confusion: 57.31% / [[158, 54, 18], [57, 87, 31], [16, 46, 53]] ------------------------------ Epoch 1205 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.591084 - Iter 024 / 025, Loss: 0.468551 * Train accuracy / confusion: 75.62% / [[297, 53, 4], [64, 174, 30], [10, 34, 134]], * Val accuracy / confusion: 56.35% / [[153, 61, 16], [68, 89, 18], [17, 47, 51]] ------------------------------ Epoch 1206 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.358003 - Iter 024 / 025, Loss: 0.499186 * Train accuracy / confusion: 77.25% / [[298, 47, 13], [61, 183, 23], [8, 30, 137]], * Val accuracy / confusion: 60.38% / [[160, 55, 15], [60, 97, 18], [12, 46, 57]] ------------------------------ Epoch 1207 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537161 - Iter 024 / 025, Loss: 0.538658 * Train accuracy / confusion: 77.50% / [[294, 53, 11], [59, 192, 18], [10, 29, 134]], * Val accuracy / confusion: 56.35% / [[156, 59, 15], [71, 76, 28], [15, 39, 61]] ------------------------------ Epoch 1208 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.494958 - Iter 024 / 025, Loss: 0.548225 * Train accuracy / confusion: 77.12% / [[306, 42, 8], [63, 183, 25], [18, 27, 128]], * Val accuracy / confusion: 56.15% / [[152, 65, 13], [65, 87, 23], [24, 38, 53]] ------------------------------ Epoch 1209 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.432149 - Iter 024 / 025, Loss: 0.450852 * Train accuracy / confusion: 75.12% / [[297, 52, 11], [68, 170, 28], [13, 27, 134]], * Val accuracy / confusion: 58.85% / [[162, 55, 13], [60, 90, 25], [15, 46, 54]] ------------------------------ Epoch 1210 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532909 - Iter 024 / 025, Loss: 0.458578 * Train accuracy / confusion: 76.25% / [[300, 42, 9], [70, 179, 20], [17, 32, 131]], * Val accuracy / confusion: 57.88% / [[157, 62, 11], [68, 87, 20], [18, 40, 57]] ------------------------------ Epoch 1211 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.520201 - Iter 024 / 025, Loss: 0.557500 * Train accuracy / confusion: 74.62% / [[292, 53, 9], [69, 181, 19], [13, 40, 124]], * Val accuracy / confusion: 57.50% / [[150, 65, 15], [53, 96, 26], [14, 48, 53]] ------------------------------ Epoch 1212 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.510055 - Iter 024 / 025, Loss: 0.501966 * Train accuracy / confusion: 74.75% / [[283, 57, 12], [58, 186, 24], [21, 30, 129]], * Val accuracy / confusion: 55.77% / [[147, 71, 12], [60, 92, 23], [18, 46, 51]] ------------------------------ Epoch 1213 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.624081 - Iter 024 / 025, Loss: 0.546201 * Train accuracy / confusion: 74.62% / [[302, 49, 7], [67, 171, 28], [10, 42, 124]], * Val accuracy / confusion: 56.54% / [[164, 54, 12], [68, 81, 26], [21, 45, 49]] ------------------------------ Epoch 1214 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555332 - Iter 024 / 025, Loss: 0.587081 * Train accuracy / confusion: 76.12% / [[293, 55, 9], [61, 182, 21], [12, 33, 134]], * Val accuracy / confusion: 60.38% / [[156, 55, 19], [55, 97, 23], [20, 34, 61]] ------------------------------ Epoch 1215 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612198 - Iter 024 / 025, Loss: 0.785902 * Train accuracy / confusion: 75.38% / [[296, 53, 12], [66, 178, 22], [9, 35, 129]], * Val accuracy / confusion: 58.08% / [[168, 53, 9], [69, 81, 25], [21, 41, 53]] ------------------------------ Epoch 1216 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.439353 - Iter 024 / 025, Loss: 0.477343 * Train accuracy / confusion: 77.38% / [[305, 46, 8], [66, 180, 20], [9, 32, 134]], * Val accuracy / confusion: 59.62% / [[158, 56, 16], [55, 94, 26], [16, 41, 58]] ------------------------------ Epoch 1217 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412259 - Iter 024 / 025, Loss: 0.686624 * Train accuracy / confusion: 75.38% / [[291, 55, 8], [64, 185, 20], [13, 37, 127]], * Val accuracy / confusion: 55.58% / [[153, 63, 14], [62, 84, 29], [22, 41, 52]] ------------------------------ Epoch 1218 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.440187 - Iter 024 / 025, Loss: 0.545697 * Train accuracy / confusion: 76.50% / [[300, 41, 11], [65, 180, 23], [15, 33, 132]], * Val accuracy / confusion: 56.92% / [[155, 51, 24], [68, 87, 20], [22, 39, 54]] ------------------------------ Epoch 1219 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550294 - Iter 024 / 025, Loss: 0.546464 * Train accuracy / confusion: 77.12% / [[297, 49, 7], [56, 187, 23], [13, 35, 133]], * Val accuracy / confusion: 59.62% / [[155, 51, 24], [56, 89, 30], [15, 34, 66]] ------------------------------ Epoch 1220 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.455889 - Iter 024 / 025, Loss: 0.536944 * Train accuracy / confusion: 77.88% / [[312, 46, 3], [65, 176, 25], [10, 28, 135]], * Val accuracy / confusion: 56.92% / [[159, 59, 12], [65, 85, 25], [17, 46, 52]] ------------------------------ Epoch 1221 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.658133 - Iter 024 / 025, Loss: 0.518310 * Train accuracy / confusion: 75.88% / [[302, 36, 16], [66, 182, 22], [18, 35, 123]], * Val accuracy / confusion: 57.69% / [[152, 64, 14], [56, 101, 18], [24, 44, 47]] ------------------------------ Epoch 1222 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568637 - Iter 024 / 025, Loss: 0.512257 * Train accuracy / confusion: 76.75% / [[296, 45, 13], [66, 180, 22], [10, 30, 138]], * Val accuracy / confusion: 55.19% / [[158, 53, 19], [65, 81, 29], [21, 46, 48]] ------------------------------ Epoch 1223 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.625131 - Iter 024 / 025, Loss: 0.602866 * Train accuracy / confusion: 76.50% / [[300, 49, 9], [70, 181, 16], [13, 31, 131]], * Val accuracy / confusion: 59.42% / [[161, 53, 16], [59, 94, 22], [19, 42, 54]] ------------------------------ Epoch 1224 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486557 - Iter 024 / 025, Loss: 0.569917 * Train accuracy / confusion: 76.88% / [[306, 46, 8], [66, 183, 18], [19, 28, 126]], * Val accuracy / confusion: 56.54% / [[154, 62, 14], [64, 84, 27], [20, 39, 56]] ------------------------------ Epoch 1225 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412403 - Iter 024 / 025, Loss: 0.608558 * Train accuracy / confusion: 76.12% / [[294, 52, 12], [62, 186, 15], [16, 34, 129]], * Val accuracy / confusion: 60.00% / [[163, 51, 16], [55, 90, 30], [15, 41, 59]] ------------------------------ Epoch 1226 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.474708 - Iter 024 / 025, Loss: 0.954646 * Train accuracy / confusion: 76.75% / [[300, 38, 13], [60, 186, 25], [17, 33, 128]], * Val accuracy / confusion: 55.77% / [[155, 55, 20], [72, 75, 28], [15, 40, 60]] ------------------------------ Epoch 1227 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672373 - Iter 024 / 025, Loss: 0.414226 * Train accuracy / confusion: 77.38% / [[301, 44, 13], [59, 185, 21], [10, 34, 133]], * Val accuracy / confusion: 57.88% / [[162, 54, 14], [65, 84, 26], [21, 39, 55]] ------------------------------ Epoch 1228 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.574058 - Iter 024 / 025, Loss: 0.419697 * Train accuracy / confusion: 74.88% / [[293, 55, 9], [60, 178, 27], [16, 34, 128]], * Val accuracy / confusion: 55.77% / [[154, 50, 26], [66, 83, 26], [18, 44, 53]] ------------------------------ Epoch 1229 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657053 - Iter 024 / 025, Loss: 0.504952 * Train accuracy / confusion: 77.12% / [[304, 39, 14], [69, 177, 19], [8, 34, 136]], * Val accuracy / confusion: 57.88% / [[164, 45, 21], [64, 78, 33], [15, 41, 59]] ------------------------------ Epoch 1230 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.386529 - Iter 024 / 025, Loss: 0.767542 * Train accuracy / confusion: 75.75% / [[295, 49, 13], [64, 181, 22], [9, 37, 130]], * Val accuracy / confusion: 55.19% / [[156, 53, 21], [61, 85, 29], [20, 49, 46]] ------------------------------ Epoch 1231 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534067 - Iter 024 / 025, Loss: 0.348323 * Train accuracy / confusion: 76.62% / [[298, 49, 8], [60, 183, 24], [12, 34, 132]], * Val accuracy / confusion: 57.31% / [[157, 55, 18], [64, 87, 24], [14, 47, 54]] ------------------------------ Epoch 1232 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.759316 - Iter 024 / 025, Loss: 0.583130 * Train accuracy / confusion: 75.50% / [[293, 53, 11], [62, 180, 22], [16, 32, 131]], * Val accuracy / confusion: 59.04% / [[154, 60, 16], [54, 92, 29], [19, 35, 61]] ------------------------------ Epoch 1233 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579270 - Iter 024 / 025, Loss: 0.471224 * Train accuracy / confusion: 74.25% / [[294, 55, 10], [68, 166, 31], [8, 34, 134]], * Val accuracy / confusion: 55.77% / [[161, 52, 17], [68, 75, 32], [19, 42, 54]] ------------------------------ Epoch 1234 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672222 - Iter 024 / 025, Loss: 0.481011 * Train accuracy / confusion: 77.50% / [[298, 48, 12], [69, 178, 19], [11, 21, 144]], * Val accuracy / confusion: 56.15% / [[148, 68, 14], [56, 90, 29], [17, 44, 54]] ------------------------------ Epoch 1235 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.560810 - Iter 024 / 025, Loss: 0.747001 * Train accuracy / confusion: 75.50% / [[296, 52, 7], [62, 176, 30], [13, 32, 132]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [68, 87, 20], [18, 37, 60]] ------------------------------ Epoch 1236 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.646105 - Iter 024 / 025, Loss: 0.695361 * Train accuracy / confusion: 74.00% / [[295, 50, 10], [70, 168, 28], [12, 38, 129]], * Val accuracy / confusion: 57.88% / [[165, 54, 11], [74, 82, 19], [20, 41, 54]] ------------------------------ Epoch 1237 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.516229 - Iter 024 / 025, Loss: 0.522114 * Train accuracy / confusion: 75.62% / [[300, 46, 11], [74, 175, 22], [9, 33, 130]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [68, 81, 26], [14, 41, 60]] ------------------------------ Epoch 1238 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.409052 - Iter 024 / 025, Loss: 0.353851 * Train accuracy / confusion: 76.88% / [[304, 45, 6], [65, 185, 20], [15, 34, 126]], * Val accuracy / confusion: 59.81% / [[162, 49, 19], [55, 93, 27], [12, 47, 56]] ------------------------------ Epoch 1239 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380440 - Iter 024 / 025, Loss: 0.478521 * Train accuracy / confusion: 79.12% / [[306, 37, 12], [62, 189, 18], [9, 29, 138]], * Val accuracy / confusion: 54.81% / [[151, 61, 18], [70, 78, 27], [17, 42, 56]] ------------------------------ Epoch 1240 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.402521 - Iter 024 / 025, Loss: 0.581453 * Train accuracy / confusion: 75.50% / [[287, 59, 12], [62, 182, 27], [6, 30, 135]], * Val accuracy / confusion: 56.15% / [[160, 53, 17], [66, 78, 31], [21, 40, 54]] ------------------------------ Epoch 1241 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.794157 - Iter 024 / 025, Loss: 0.533097 * Train accuracy / confusion: 77.00% / [[305, 38, 13], [61, 177, 25], [13, 34, 134]], * Val accuracy / confusion: 58.46% / [[158, 59, 13], [63, 86, 26], [19, 36, 60]] ------------------------------ Epoch 1242 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626869 - Iter 024 / 025, Loss: 0.340362 * Train accuracy / confusion: 74.38% / [[294, 49, 10], [70, 178, 20], [12, 44, 123]], * Val accuracy / confusion: 59.81% / [[157, 58, 15], [55, 96, 24], [16, 41, 58]] ------------------------------ Epoch 1243 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596678 - Iter 024 / 025, Loss: 0.474214 * Train accuracy / confusion: 76.75% / [[306, 39, 11], [69, 175, 25], [9, 33, 133]], * Val accuracy / confusion: 58.85% / [[154, 58, 18], [60, 99, 16], [16, 46, 53]] ------------------------------ Epoch 1244 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.887369 - Iter 024 / 025, Loss: 0.439898 * Train accuracy / confusion: 78.25% / [[311, 36, 11], [65, 185, 18], [13, 31, 130]], * Val accuracy / confusion: 58.27% / [[159, 55, 16], [60, 92, 23], [11, 52, 52]] ------------------------------ Epoch 1245 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701852 - Iter 024 / 025, Loss: 0.634720 * Train accuracy / confusion: 76.00% / [[299, 45, 14], [60, 176, 27], [17, 29, 133]], * Val accuracy / confusion: 57.69% / [[155, 64, 11], [61, 92, 22], [15, 47, 53]] ------------------------------ Epoch 1246 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453811 - Iter 024 / 025, Loss: 0.499545 * Train accuracy / confusion: 76.50% / [[309, 41, 9], [57, 177, 33], [13, 35, 126]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [52, 95, 28], [12, 53, 50]] ------------------------------ Epoch 1247 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.713249 - Iter 024 / 025, Loss: 0.960594 * Train accuracy / confusion: 76.00% / [[307, 39, 9], [75, 170, 23], [9, 37, 131]], * Val accuracy / confusion: 55.38% / [[151, 60, 19], [54, 86, 35], [19, 45, 51]] ------------------------------ Epoch 1248 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430132 - Iter 024 / 025, Loss: 0.594270 * Train accuracy / confusion: 77.00% / [[295, 52, 10], [56, 187, 28], [7, 31, 134]], * Val accuracy / confusion: 56.35% / [[143, 67, 20], [58, 99, 18], [19, 45, 51]] ------------------------------ Epoch 1249 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.616831 - Iter 024 / 025, Loss: 0.593748 * Train accuracy / confusion: 76.50% / [[303, 43, 16], [59, 181, 27], [6, 37, 128]], * Val accuracy / confusion: 56.35% / [[149, 62, 19], [62, 87, 26], [14, 44, 57]] ------------------------------ Epoch 1250 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423212 - Iter 024 / 025, Loss: 0.425586 * Train accuracy / confusion: 81.12% / [[303, 44, 13], [40, 207, 18], [11, 25, 139]], * Val accuracy / confusion: 56.35% / [[161, 57, 12], [70, 83, 22], [20, 46, 49]] ------------------------------ Epoch 1251 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.421633 - Iter 024 / 025, Loss: 0.715181 * Train accuracy / confusion: 76.00% / [[300, 44, 11], [72, 171, 23], [17, 25, 137]], * Val accuracy / confusion: 58.27% / [[155, 60, 15], [64, 93, 18], [17, 43, 55]] ------------------------------ Epoch 1252 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458439 - Iter 024 / 025, Loss: 0.444723 * Train accuracy / confusion: 76.62% / [[297, 43, 10], [68, 181, 23], [12, 31, 135]], * Val accuracy / confusion: 58.27% / [[158, 62, 10], [62, 89, 24], [16, 43, 56]] ------------------------------ Epoch 1253 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557382 - Iter 024 / 025, Loss: 0.620944 * Train accuracy / confusion: 78.12% / [[302, 40, 13], [56, 189, 26], [14, 26, 134]], * Val accuracy / confusion: 55.77% / [[158, 56, 16], [68, 81, 26], [19, 45, 51]] ------------------------------ Epoch 1254 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.669027 - Iter 024 / 025, Loss: 0.518991 * Train accuracy / confusion: 75.12% / [[299, 44, 10], [66, 177, 26], [19, 34, 125]], * Val accuracy / confusion: 60.19% / [[164, 52, 14], [62, 89, 24], [20, 35, 60]] ------------------------------ Epoch 1255 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.479584 - Iter 024 / 025, Loss: 0.709733 * Train accuracy / confusion: 75.38% / [[298, 47, 15], [64, 183, 17], [15, 39, 122]], * Val accuracy / confusion: 58.65% / [[159, 53, 18], [66, 86, 23], [16, 39, 60]] ------------------------------ Epoch 1256 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.837686 - Iter 024 / 025, Loss: 0.746210 * Train accuracy / confusion: 74.12% / [[290, 50, 17], [72, 172, 25], [16, 27, 131]], * Val accuracy / confusion: 56.92% / [[160, 54, 16], [71, 82, 22], [17, 44, 54]] ------------------------------ Epoch 1257 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.614869 - Iter 024 / 025, Loss: 0.449355 * Train accuracy / confusion: 74.00% / [[290, 58, 9], [69, 167, 30], [9, 33, 135]], * Val accuracy / confusion: 59.04% / [[163, 58, 9], [53, 92, 30], [15, 48, 52]] ------------------------------ Epoch 1258 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.485382 - Iter 024 / 025, Loss: 0.581155 * Train accuracy / confusion: 75.88% / [[304, 43, 8], [69, 172, 28], [14, 31, 131]], * Val accuracy / confusion: 60.38% / [[158, 50, 22], [57, 97, 21], [16, 40, 59]] ------------------------------ Epoch 1259 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.566519 - Iter 024 / 025, Loss: 0.610921 * Train accuracy / confusion: 77.25% / [[300, 45, 8], [65, 194, 16], [14, 34, 124]], * Val accuracy / confusion: 55.77% / [[149, 62, 19], [60, 89, 26], [13, 50, 52]] ------------------------------ Epoch 1260 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596433 - Iter 024 / 025, Loss: 0.675447 * Train accuracy / confusion: 74.88% / [[289, 60, 9], [67, 177, 28], [7, 30, 133]], * Val accuracy / confusion: 56.35% / [[159, 50, 21], [72, 76, 27], [21, 36, 58]] ------------------------------ Epoch 1261 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508185 - Iter 024 / 025, Loss: 0.381465 * Train accuracy / confusion: 76.50% / [[305, 46, 6], [63, 175, 29], [7, 37, 132]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [73, 75, 27], [20, 42, 53]] ------------------------------ Epoch 1262 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372407 - Iter 024 / 025, Loss: 0.542909 * Train accuracy / confusion: 75.62% / [[304, 39, 15], [65, 178, 25], [19, 32, 123]], * Val accuracy / confusion: 56.54% / [[147, 65, 18], [62, 93, 20], [18, 43, 54]] ------------------------------ Epoch 1263 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610234 - Iter 024 / 025, Loss: 0.560162 * Train accuracy / confusion: 74.75% / [[296, 51, 8], [71, 176, 23], [15, 34, 126]], * Val accuracy / confusion: 56.73% / [[147, 64, 19], [60, 88, 27], [14, 41, 60]] ------------------------------ Epoch 1264 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.354305 - Iter 024 / 025, Loss: 0.671891 * Train accuracy / confusion: 77.12% / [[302, 41, 16], [65, 183, 17], [15, 29, 132]], * Val accuracy / confusion: 57.88% / [[156, 52, 22], [61, 88, 26], [16, 42, 57]] ------------------------------ Epoch 1265 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497030 - Iter 024 / 025, Loss: 0.491029 * Train accuracy / confusion: 75.50% / [[291, 55, 8], [61, 179, 28], [15, 29, 134]], * Val accuracy / confusion: 57.88% / [[160, 56, 14], [71, 83, 21], [15, 42, 58]] ------------------------------ Epoch 1266 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.843152 - Iter 024 / 025, Loss: 0.540921 * Train accuracy / confusion: 75.12% / [[303, 47, 10], [70, 167, 29], [15, 28, 131]], * Val accuracy / confusion: 56.73% / [[148, 62, 20], [63, 86, 26], [11, 43, 61]] ------------------------------ Epoch 1267 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552347 - Iter 024 / 025, Loss: 0.483860 * Train accuracy / confusion: 77.25% / [[306, 35, 15], [61, 184, 22], [13, 36, 128]], * Val accuracy / confusion: 59.04% / [[158, 51, 21], [56, 89, 30], [17, 38, 60]] ------------------------------ Epoch 1268 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519399 - Iter 024 / 025, Loss: 0.510122 * Train accuracy / confusion: 75.75% / [[292, 53, 8], [63, 175, 30], [10, 30, 139]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [63, 87, 25], [13, 42, 60]] ------------------------------ Epoch 1269 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610861 - Iter 024 / 025, Loss: 0.508098 * Train accuracy / confusion: 74.50% / [[298, 51, 9], [75, 175, 18], [14, 37, 123]], * Val accuracy / confusion: 59.81% / [[163, 55, 12], [58, 97, 20], [17, 47, 51]] ------------------------------ Epoch 1270 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469848 - Iter 024 / 025, Loss: 0.450228 * Train accuracy / confusion: 75.12% / [[295, 52, 8], [69, 177, 22], [10, 38, 129]], * Val accuracy / confusion: 56.73% / [[156, 61, 13], [67, 86, 22], [17, 45, 53]] ------------------------------ Epoch 1271 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490201 - Iter 024 / 025, Loss: 0.492387 * Train accuracy / confusion: 75.62% / [[298, 47, 12], [65, 175, 28], [9, 34, 132]], * Val accuracy / confusion: 59.81% / [[159, 55, 16], [62, 91, 22], [15, 39, 61]] ------------------------------ Epoch 1272 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.738952 - Iter 024 / 025, Loss: 0.595723 * Train accuracy / confusion: 76.38% / [[298, 52, 10], [58, 178, 29], [17, 23, 135]], * Val accuracy / confusion: 57.12% / [[153, 55, 22], [56, 86, 33], [15, 42, 58]] ------------------------------ Epoch 1273 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405944 - Iter 024 / 025, Loss: 0.698745 * Train accuracy / confusion: 76.00% / [[296, 46, 8], [65, 183, 23], [11, 39, 129]], * Val accuracy / confusion: 59.62% / [[161, 57, 12], [61, 91, 23], [18, 39, 58]] ------------------------------ Epoch 1274 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490787 - Iter 024 / 025, Loss: 0.648264 * Train accuracy / confusion: 77.88% / [[302, 44, 9], [65, 181, 21], [9, 29, 140]], * Val accuracy / confusion: 58.27% / [[153, 57, 20], [57, 92, 26], [17, 40, 58]] ------------------------------ Epoch 1275 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.638777 - Iter 024 / 025, Loss: 0.520545 * Train accuracy / confusion: 79.75% / [[315, 31, 8], [62, 187, 21], [7, 33, 136]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [45, 92, 38], [15, 43, 57]] ------------------------------ Epoch 1276 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579156 - Iter 024 / 025, Loss: 0.384312 * Train accuracy / confusion: 75.88% / [[288, 58, 16], [61, 182, 17], [10, 31, 137]], * Val accuracy / confusion: 56.35% / [[149, 70, 11], [60, 85, 30], [17, 39, 59]] ------------------------------ Epoch 1277 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635047 - Iter 024 / 025, Loss: 0.448110 * Train accuracy / confusion: 78.38% / [[302, 46, 9], [57, 195, 14], [10, 37, 130]], * Val accuracy / confusion: 55.38% / [[160, 60, 10], [71, 81, 23], [18, 50, 47]] ------------------------------ Epoch 1278 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.512622 - Iter 024 / 025, Loss: 0.592024 * Train accuracy / confusion: 76.88% / [[293, 50, 12], [56, 191, 21], [15, 31, 131]], * Val accuracy / confusion: 55.00% / [[147, 63, 20], [69, 82, 24], [17, 41, 57]] ------------------------------ Epoch 1279 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608562 - Iter 024 / 025, Loss: 0.589812 * Train accuracy / confusion: 74.88% / [[302, 42, 11], [76, 170, 24], [12, 36, 127]], * Val accuracy / confusion: 62.12% / [[168, 46, 16], [55, 99, 21], [24, 35, 56]] ------------------------------ Epoch 1280 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.723907 - Iter 024 / 025, Loss: 0.552976 * Train accuracy / confusion: 80.00% / [[318, 38, 2], [61, 187, 22], [10, 27, 135]], * Val accuracy / confusion: 58.85% / [[156, 60, 14], [61, 89, 25], [16, 38, 61]] ------------------------------ Epoch 1281 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620537 - Iter 024 / 025, Loss: 0.416519 * Train accuracy / confusion: 77.75% / [[313, 39, 8], [63, 178, 25], [12, 31, 131]], * Val accuracy / confusion: 59.81% / [[158, 57, 15], [54, 99, 22], [19, 42, 54]] ------------------------------ Epoch 1282 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610381 - Iter 024 / 025, Loss: 0.445246 * Train accuracy / confusion: 75.25% / [[290, 50, 16], [59, 183, 25], [11, 37, 129]], * Val accuracy / confusion: 59.04% / [[162, 53, 15], [65, 89, 21], [16, 43, 56]] ------------------------------ Epoch 1283 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424776 - Iter 024 / 025, Loss: 0.346784 * Train accuracy / confusion: 79.88% / [[308, 37, 10], [51, 195, 20], [11, 32, 136]], * Val accuracy / confusion: 56.92% / [[165, 52, 13], [68, 84, 23], [21, 47, 47]] ------------------------------ Epoch 1284 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.652358 - Iter 024 / 025, Loss: 0.540093 * Train accuracy / confusion: 76.88% / [[290, 52, 13], [52, 194, 26], [17, 25, 131]], * Val accuracy / confusion: 57.69% / [[163, 50, 17], [72, 82, 21], [18, 42, 55]] ------------------------------ Epoch 1285 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.687615 - Iter 024 / 025, Loss: 0.445334 * Train accuracy / confusion: 75.25% / [[285, 63, 8], [60, 184, 21], [13, 33, 133]], * Val accuracy / confusion: 60.00% / [[162, 52, 16], [52, 99, 24], [19, 45, 51]] ------------------------------ Epoch 1286 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.531139 - Iter 024 / 025, Loss: 0.506836 * Train accuracy / confusion: 75.75% / [[296, 43, 14], [59, 182, 28], [11, 39, 128]], * Val accuracy / confusion: 60.38% / [[166, 51, 13], [61, 88, 26], [12, 43, 60]] ------------------------------ Epoch 1287 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353466 - Iter 024 / 025, Loss: 0.458327 * Train accuracy / confusion: 77.62% / [[295, 53, 10], [54, 195, 16], [7, 39, 131]], * Val accuracy / confusion: 60.19% / [[156, 48, 26], [54, 96, 25], [14, 40, 61]] ------------------------------ Epoch 1288 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.407614 - Iter 024 / 025, Loss: 0.568021 * Train accuracy / confusion: 76.25% / [[299, 48, 11], [66, 180, 20], [8, 37, 131]], * Val accuracy / confusion: 58.65% / [[158, 60, 12], [61, 93, 21], [21, 40, 54]] ------------------------------ Epoch 1289 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458272 - Iter 024 / 025, Loss: 0.380808 * Train accuracy / confusion: 75.88% / [[300, 43, 12], [68, 175, 26], [8, 36, 132]], * Val accuracy / confusion: 57.12% / [[153, 58, 19], [57, 93, 25], [20, 44, 51]] ------------------------------ Epoch 1290 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.661960 - Iter 024 / 025, Loss: 0.417456 * Train accuracy / confusion: 76.12% / [[296, 47, 13], [64, 185, 18], [19, 30, 128]], * Val accuracy / confusion: 58.08% / [[162, 53, 15], [65, 86, 24], [21, 40, 54]] ------------------------------ Epoch 1291 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.530224 - Iter 024 / 025, Loss: 0.611608 * Train accuracy / confusion: 76.00% / [[297, 47, 13], [72, 178, 20], [13, 27, 133]], * Val accuracy / confusion: 58.65% / [[154, 62, 14], [57, 95, 23], [17, 42, 56]] ------------------------------ Epoch 1292 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626841 - Iter 024 / 025, Loss: 0.541754 * Train accuracy / confusion: 76.25% / [[302, 44, 10], [71, 176, 22], [15, 28, 132]], * Val accuracy / confusion: 59.04% / [[154, 57, 19], [54, 96, 25], [15, 43, 57]] ------------------------------ Epoch 1293 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410447 - Iter 024 / 025, Loss: 0.316398 * Train accuracy / confusion: 75.62% / [[307, 35, 15], [77, 164, 23], [12, 33, 134]], * Val accuracy / confusion: 59.42% / [[156, 60, 14], [56, 91, 28], [15, 38, 62]] ------------------------------ Epoch 1294 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495099 - Iter 024 / 025, Loss: 0.559746 * Train accuracy / confusion: 78.00% / [[304, 42, 9], [61, 189, 16], [14, 34, 131]], * Val accuracy / confusion: 60.58% / [[168, 52, 10], [61, 88, 26], [17, 39, 59]] ------------------------------ Epoch 1295 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.796133 - Iter 024 / 025, Loss: 0.566962 * Train accuracy / confusion: 76.75% / [[295, 48, 14], [55, 187, 26], [13, 30, 132]], * Val accuracy / confusion: 56.15% / [[149, 60, 21], [53, 93, 29], [17, 48, 50]] ------------------------------ Epoch 1296 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.434377 - Iter 024 / 025, Loss: 0.433602 * Train accuracy / confusion: 79.50% / [[299, 49, 7], [56, 194, 18], [10, 24, 143]], * Val accuracy / confusion: 59.04% / [[159, 58, 13], [66, 94, 15], [18, 43, 54]] ------------------------------ Epoch 1297 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508985 - Iter 024 / 025, Loss: 0.499240 * Train accuracy / confusion: 76.88% / [[304, 47, 10], [59, 184, 26], [20, 23, 127]], * Val accuracy / confusion: 60.77% / [[159, 52, 19], [59, 95, 21], [13, 40, 62]] ------------------------------ Epoch 1298 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450762 - Iter 024 / 025, Loss: 0.715611 * Train accuracy / confusion: 77.88% / [[303, 43, 12], [61, 186, 18], [11, 32, 134]], * Val accuracy / confusion: 57.69% / [[150, 67, 13], [60, 91, 24], [19, 37, 59]] ------------------------------ Epoch 1299 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.622887 - Iter 024 / 025, Loss: 0.629111 * Train accuracy / confusion: 76.25% / [[300, 38, 20], [67, 181, 19], [11, 35, 129]], * Val accuracy / confusion: 58.65% / [[156, 59, 15], [65, 89, 21], [21, 34, 60]] ------------------------------ Epoch 1300 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443045 - Iter 024 / 025, Loss: 0.704570 * Train accuracy / confusion: 73.50% / [[290, 56, 8], [73, 169, 25], [12, 38, 129]], * Val accuracy / confusion: 57.12% / [[155, 56, 19], [58, 91, 26], [16, 48, 51]] ------------------------------ Epoch 1301 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.095606 - Iter 024 / 025, Loss: 0.668631 * Train accuracy / confusion: 76.12% / [[304, 47, 7], [60, 180, 27], [15, 35, 125]], * Val accuracy / confusion: 59.04% / [[167, 53, 10], [61, 86, 28], [17, 44, 54]] ------------------------------ Epoch 1302 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508470 - Iter 024 / 025, Loss: 0.558610 * Train accuracy / confusion: 77.88% / [[299, 46, 7], [54, 191, 24], [11, 35, 133]], * Val accuracy / confusion: 57.69% / [[157, 52, 21], [61, 87, 27], [20, 39, 56]] ------------------------------ Epoch 1303 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.335824 - Iter 024 / 025, Loss: 0.501037 * Train accuracy / confusion: 77.25% / [[302, 47, 9], [66, 182, 17], [11, 32, 134]], * Val accuracy / confusion: 59.62% / [[158, 55, 17], [53, 91, 31], [17, 37, 61]] ------------------------------ Epoch 1304 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.976065 - Iter 024 / 025, Loss: 0.393305 * Train accuracy / confusion: 76.88% / [[302, 45, 14], [61, 185, 18], [12, 35, 128]], * Val accuracy / confusion: 56.73% / [[150, 54, 26], [54, 93, 28], [16, 47, 52]] ------------------------------ Epoch 1305 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.662750 - Iter 024 / 025, Loss: 0.788148 * Train accuracy / confusion: 76.62% / [[296, 50, 16], [62, 187, 16], [12, 31, 130]], * Val accuracy / confusion: 57.88% / [[160, 51, 19], [65, 87, 23], [14, 47, 54]] ------------------------------ Epoch 1306 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550626 - Iter 024 / 025, Loss: 0.512206 * Train accuracy / confusion: 76.88% / [[307, 46, 8], [59, 183, 23], [13, 36, 125]], * Val accuracy / confusion: 57.12% / [[153, 65, 12], [64, 88, 23], [19, 40, 56]] ------------------------------ Epoch 1307 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552702 - Iter 024 / 025, Loss: 0.585298 * Train accuracy / confusion: 78.25% / [[312, 43, 3], [64, 187, 17], [13, 34, 127]], * Val accuracy / confusion: 57.12% / [[161, 56, 13], [60, 81, 34], [18, 42, 55]] ------------------------------ Epoch 1308 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.479531 - Iter 024 / 025, Loss: 0.748817 * Train accuracy / confusion: 77.75% / [[305, 42, 9], [59, 182, 29], [10, 29, 135]], * Val accuracy / confusion: 56.92% / [[162, 53, 15], [60, 90, 25], [18, 53, 44]] ------------------------------ Epoch 1309 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.768000 - Iter 024 / 025, Loss: 0.484024 * Train accuracy / confusion: 76.50% / [[294, 53, 13], [62, 185, 19], [15, 26, 133]], * Val accuracy / confusion: 58.08% / [[155, 60, 15], [60, 85, 30], [14, 39, 62]] ------------------------------ Epoch 1310 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.103165 - Iter 024 / 025, Loss: 0.449553 * Train accuracy / confusion: 76.38% / [[295, 49, 14], [61, 182, 20], [8, 37, 134]], * Val accuracy / confusion: 55.38% / [[156, 61, 13], [71, 86, 18], [16, 53, 46]] ------------------------------ Epoch 1311 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482347 - Iter 024 / 025, Loss: 0.462889 * Train accuracy / confusion: 77.00% / [[302, 41, 12], [58, 188, 22], [14, 37, 126]], * Val accuracy / confusion: 60.77% / [[163, 53, 14], [62, 99, 14], [18, 43, 54]] ------------------------------ Epoch 1312 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627613 - Iter 024 / 025, Loss: 0.710052 * Train accuracy / confusion: 78.00% / [[311, 38, 7], [61, 187, 20], [14, 36, 126]], * Val accuracy / confusion: 57.88% / [[154, 63, 13], [63, 88, 24], [16, 40, 59]] ------------------------------ Epoch 1313 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.392882 - Iter 024 / 025, Loss: 0.802829 * Train accuracy / confusion: 76.75% / [[306, 42, 7], [74, 172, 21], [10, 32, 136]], * Val accuracy / confusion: 57.12% / [[164, 51, 15], [69, 84, 22], [17, 49, 49]] ------------------------------ Epoch 1314 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477263 - Iter 024 / 025, Loss: 0.482266 * Train accuracy / confusion: 74.88% / [[297, 54, 8], [62, 180, 24], [12, 41, 122]], * Val accuracy / confusion: 57.31% / [[149, 65, 16], [55, 93, 27], [12, 47, 56]] ------------------------------ Epoch 1315 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497405 - Iter 024 / 025, Loss: 0.541179 * Train accuracy / confusion: 79.50% / [[302, 44, 13], [58, 197, 14], [9, 26, 137]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [72, 73, 30], [15, 43, 57]] ------------------------------ Epoch 1316 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626255 - Iter 024 / 025, Loss: 0.544828 * Train accuracy / confusion: 76.88% / [[293, 46, 11], [52, 186, 35], [13, 28, 136]], * Val accuracy / confusion: 56.92% / [[153, 55, 22], [60, 91, 24], [15, 48, 52]] ------------------------------ Epoch 1317 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.717564 - Iter 024 / 025, Loss: 0.514488 * Train accuracy / confusion: 76.25% / [[303, 46, 9], [67, 173, 29], [13, 26, 134]], * Val accuracy / confusion: 58.46% / [[164, 51, 15], [63, 82, 30], [20, 37, 58]] ------------------------------ Epoch 1318 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.583618 - Iter 024 / 025, Loss: 0.464349 * Train accuracy / confusion: 75.50% / [[303, 44, 14], [61, 179, 27], [9, 41, 122]], * Val accuracy / confusion: 59.42% / [[159, 53, 18], [59, 90, 26], [17, 38, 60]] ------------------------------ Epoch 1319 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423672 - Iter 024 / 025, Loss: 0.553242 * Train accuracy / confusion: 76.50% / [[299, 45, 9], [55, 191, 26], [13, 40, 122]], * Val accuracy / confusion: 59.81% / [[164, 49, 17], [55, 95, 25], [22, 41, 52]] ------------------------------ Epoch 1320 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563252 - Iter 024 / 025, Loss: 0.483803 * Train accuracy / confusion: 76.00% / [[285, 59, 9], [55, 190, 25], [10, 34, 133]], * Val accuracy / confusion: 56.54% / [[152, 54, 24], [64, 92, 19], [21, 44, 50]] ------------------------------ Epoch 1321 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.349819 - Iter 024 / 025, Loss: 0.533939 * Train accuracy / confusion: 76.88% / [[300, 45, 11], [59, 187, 23], [19, 28, 128]], * Val accuracy / confusion: 57.31% / [[157, 58, 15], [65, 83, 27], [16, 41, 58]] ------------------------------ Epoch 1322 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477509 - Iter 024 / 025, Loss: 0.466638 * Train accuracy / confusion: 78.38% / [[307, 43, 10], [63, 178, 22], [8, 27, 142]], * Val accuracy / confusion: 58.65% / [[154, 57, 19], [57, 98, 20], [16, 46, 53]] ------------------------------ Epoch 1323 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627090 - Iter 024 / 025, Loss: 0.637295 * Train accuracy / confusion: 75.25% / [[292, 53, 6], [66, 173, 33], [13, 27, 137]], * Val accuracy / confusion: 58.08% / [[163, 49, 18], [65, 78, 32], [18, 36, 61]] ------------------------------ Epoch 1324 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562563 - Iter 024 / 025, Loss: 0.656745 * Train accuracy / confusion: 77.75% / [[301, 43, 9], [60, 186, 22], [13, 31, 135]], * Val accuracy / confusion: 58.85% / [[153, 63, 14], [57, 100, 18], [16, 46, 53]] ------------------------------ Epoch 1325 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.611699 - Iter 024 / 025, Loss: 0.597526 * Train accuracy / confusion: 77.88% / [[301, 44, 7], [61, 194, 16], [18, 31, 128]], * Val accuracy / confusion: 60.19% / [[159, 57, 14], [57, 91, 27], [20, 32, 63]] ------------------------------ Epoch 1326 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.370288 - Iter 024 / 025, Loss: 0.685363 * Train accuracy / confusion: 78.00% / [[299, 42, 12], [66, 190, 15], [14, 27, 135]], * Val accuracy / confusion: 59.23% / [[158, 56, 16], [63, 90, 22], [16, 39, 60]] ------------------------------ Epoch 1327 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.452235 - Iter 024 / 025, Loss: 0.343003 * Train accuracy / confusion: 74.62% / [[298, 52, 4], [71, 167, 33], [11, 32, 132]], * Val accuracy / confusion: 58.65% / [[155, 56, 19], [52, 93, 30], [21, 37, 57]] ------------------------------ Epoch 1328 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.530455 - Iter 024 / 025, Loss: 0.497576 * Train accuracy / confusion: 77.25% / [[296, 52, 10], [54, 189, 22], [12, 32, 133]], * Val accuracy / confusion: 58.85% / [[161, 53, 16], [67, 84, 24], [19, 35, 61]] ------------------------------ Epoch 1329 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563181 - Iter 024 / 025, Loss: 0.496608 * Train accuracy / confusion: 78.25% / [[298, 47, 8], [63, 190, 19], [9, 28, 138]], * Val accuracy / confusion: 56.15% / [[157, 58, 15], [63, 84, 28], [16, 48, 51]] ------------------------------ Epoch 1330 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.576740 - Iter 024 / 025, Loss: 0.553215 * Train accuracy / confusion: 75.25% / [[286, 53, 16], [63, 185, 23], [13, 30, 131]], * Val accuracy / confusion: 55.77% / [[159, 53, 18], [63, 76, 36], [20, 40, 55]] ------------------------------ Epoch 1331 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.501972 - Iter 024 / 025, Loss: 0.627021 * Train accuracy / confusion: 77.50% / [[295, 48, 14], [63, 185, 22], [11, 22, 140]], * Val accuracy / confusion: 58.08% / [[158, 62, 10], [59, 92, 24], [22, 41, 52]] ------------------------------ Epoch 1332 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.538643 - Iter 024 / 025, Loss: 0.627504 * Train accuracy / confusion: 78.38% / [[299, 43, 12], [51, 191, 27], [9, 31, 137]], * Val accuracy / confusion: 54.81% / [[149, 61, 20], [63, 80, 32], [18, 41, 56]] ------------------------------ Epoch 1333 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.836837 - Iter 024 / 025, Loss: 0.331023 * Train accuracy / confusion: 76.12% / [[301, 43, 12], [61, 179, 28], [17, 30, 129]], * Val accuracy / confusion: 57.50% / [[158, 52, 20], [65, 88, 22], [21, 41, 53]] ------------------------------ Epoch 1334 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.661445 - Iter 024 / 025, Loss: 0.533881 * Train accuracy / confusion: 75.25% / [[292, 52, 10], [67, 177, 24], [13, 32, 133]], * Val accuracy / confusion: 55.96% / [[157, 59, 14], [65, 75, 35], [16, 40, 59]] ------------------------------ Epoch 1335 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450841 - Iter 024 / 025, Loss: 0.517122 * Train accuracy / confusion: 77.75% / [[308, 41, 9], [54, 185, 30], [8, 36, 129]], * Val accuracy / confusion: 58.85% / [[153, 62, 15], [61, 98, 16], [24, 36, 55]] ------------------------------ Epoch 1336 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405824 - Iter 024 / 025, Loss: 0.468926 * Train accuracy / confusion: 76.62% / [[293, 45, 13], [65, 186, 21], [9, 34, 134]], * Val accuracy / confusion: 57.69% / [[160, 49, 21], [63, 82, 30], [14, 43, 58]] ------------------------------ Epoch 1337 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532988 - Iter 024 / 025, Loss: 0.576131 * Train accuracy / confusion: 74.12% / [[294, 50, 11], [66, 171, 30], [12, 38, 128]], * Val accuracy / confusion: 56.54% / [[153, 62, 15], [67, 87, 21], [21, 40, 54]] ------------------------------ Epoch 1338 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461041 - Iter 024 / 025, Loss: 0.825383 * Train accuracy / confusion: 78.38% / [[302, 38, 11], [60, 189, 21], [8, 35, 136]], * Val accuracy / confusion: 56.54% / [[147, 58, 25], [61, 93, 21], [16, 45, 54]] ------------------------------ Epoch 1339 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508742 - Iter 024 / 025, Loss: 0.506352 * Train accuracy / confusion: 75.88% / [[297, 45, 9], [69, 176, 24], [18, 28, 134]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [58, 84, 33], [18, 42, 55]] ------------------------------ Epoch 1340 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495171 - Iter 024 / 025, Loss: 0.457228 * Train accuracy / confusion: 75.88% / [[290, 55, 12], [68, 178, 21], [12, 25, 139]], * Val accuracy / confusion: 58.08% / [[150, 60, 20], [51, 100, 24], [19, 44, 52]] ------------------------------ Epoch 1341 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369446 - Iter 024 / 025, Loss: 0.544922 * Train accuracy / confusion: 75.50% / [[303, 46, 8], [80, 163, 25], [6, 31, 138]], * Val accuracy / confusion: 57.12% / [[156, 58, 16], [59, 92, 24], [18, 48, 49]] ------------------------------ Epoch 1342 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634551 - Iter 024 / 025, Loss: 0.672917 * Train accuracy / confusion: 77.25% / [[295, 53, 6], [63, 188, 19], [13, 28, 135]], * Val accuracy / confusion: 55.77% / [[156, 56, 18], [56, 85, 34], [19, 47, 49]] ------------------------------ Epoch 1343 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419381 - Iter 024 / 025, Loss: 0.425975 * Train accuracy / confusion: 75.88% / [[299, 47, 8], [67, 177, 21], [14, 36, 131]], * Val accuracy / confusion: 57.69% / [[158, 57, 15], [65, 86, 24], [12, 47, 56]] ------------------------------ Epoch 1344 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458804 - Iter 024 / 025, Loss: 0.677847 * Train accuracy / confusion: 75.88% / [[303, 47, 10], [66, 177, 25], [11, 34, 127]], * Val accuracy / confusion: 57.31% / [[161, 48, 21], [63, 81, 31], [16, 43, 56]] ------------------------------ Epoch 1345 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587189 - Iter 024 / 025, Loss: 0.380714 * Train accuracy / confusion: 75.12% / [[297, 44, 12], [65, 180, 23], [18, 37, 124]], * Val accuracy / confusion: 53.85% / [[141, 66, 23], [62, 86, 27], [13, 49, 53]] ------------------------------ Epoch 1346 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.343031 - Iter 024 / 025, Loss: 0.447950 * Train accuracy / confusion: 76.62% / [[298, 43, 14], [64, 184, 20], [13, 33, 131]], * Val accuracy / confusion: 57.50% / [[160, 56, 14], [63, 84, 28], [20, 40, 55]] ------------------------------ Epoch 1347 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.518307 - Iter 024 / 025, Loss: 0.762298 * Train accuracy / confusion: 79.88% / [[309, 41, 7], [54, 192, 23], [7, 29, 138]], * Val accuracy / confusion: 56.54% / [[163, 45, 22], [67, 77, 31], [19, 42, 54]] ------------------------------ Epoch 1348 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430254 - Iter 024 / 025, Loss: 0.398364 * Train accuracy / confusion: 78.12% / [[305, 35, 14], [62, 180, 25], [14, 25, 140]], * Val accuracy / confusion: 56.92% / [[159, 57, 14], [63, 85, 27], [20, 43, 52]] ------------------------------ Epoch 1349 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.492256 - Iter 024 / 025, Loss: 0.359272 * Train accuracy / confusion: 75.75% / [[298, 49, 6], [61, 181, 27], [18, 33, 127]], * Val accuracy / confusion: 55.19% / [[157, 61, 12], [67, 81, 27], [12, 54, 49]] ------------------------------ Epoch 1350 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.553910 - Iter 024 / 025, Loss: 0.551597 * Train accuracy / confusion: 77.25% / [[296, 48, 13], [62, 186, 20], [11, 28, 136]], * Val accuracy / confusion: 54.62% / [[150, 59, 21], [64, 80, 31], [17, 44, 54]] ------------------------------ Epoch 1351 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.654632 - Iter 024 / 025, Loss: 0.419039 * Train accuracy / confusion: 75.00% / [[293, 49, 10], [74, 178, 18], [13, 36, 129]], * Val accuracy / confusion: 55.77% / [[154, 60, 16], [65, 87, 23], [21, 45, 49]] ------------------------------ Epoch 1352 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.501419 - Iter 024 / 025, Loss: 0.388051 * Train accuracy / confusion: 75.50% / [[294, 53, 12], [68, 180, 17], [18, 28, 130]], * Val accuracy / confusion: 56.92% / [[156, 55, 19], [63, 84, 28], [18, 41, 56]] ------------------------------ Epoch 1353 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555640 - Iter 024 / 025, Loss: 0.477074 * Train accuracy / confusion: 75.88% / [[296, 44, 15], [60, 180, 27], [13, 34, 131]], * Val accuracy / confusion: 58.46% / [[150, 64, 16], [59, 94, 22], [16, 39, 60]] ------------------------------ Epoch 1354 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.580685 - Iter 024 / 025, Loss: 0.527027 * Train accuracy / confusion: 74.75% / [[290, 52, 12], [69, 177, 23], [9, 37, 131]], * Val accuracy / confusion: 56.15% / [[155, 60, 15], [66, 84, 25], [16, 46, 53]] ------------------------------ Epoch 1355 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.466851 - Iter 024 / 025, Loss: 0.704819 * Train accuracy / confusion: 76.38% / [[305, 45, 9], [66, 175, 27], [12, 30, 131]], * Val accuracy / confusion: 57.50% / [[158, 52, 20], [60, 88, 27], [14, 48, 53]] ------------------------------ Epoch 1356 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.574564 - Iter 024 / 025, Loss: 0.464224 * Train accuracy / confusion: 76.88% / [[296, 49, 9], [65, 182, 20], [12, 30, 137]], * Val accuracy / confusion: 58.46% / [[165, 48, 17], [70, 88, 17], [16, 48, 51]] ------------------------------ Epoch 1357 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.447366 - Iter 024 / 025, Loss: 0.332546 * Train accuracy / confusion: 77.88% / [[307, 36, 15], [63, 183, 22], [7, 34, 133]], * Val accuracy / confusion: 59.62% / [[163, 53, 14], [61, 91, 23], [19, 40, 56]] ------------------------------ Epoch 1358 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.584933 - Iter 024 / 025, Loss: 0.758918 * Train accuracy / confusion: 75.12% / [[293, 49, 16], [64, 180, 24], [14, 32, 128]], * Val accuracy / confusion: 57.69% / [[153, 53, 24], [60, 88, 27], [14, 42, 59]] ------------------------------ Epoch 1359 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.535618 - Iter 024 / 025, Loss: 0.566078 * Train accuracy / confusion: 77.88% / [[306, 48, 7], [56, 186, 27], [9, 30, 131]], * Val accuracy / confusion: 58.27% / [[163, 56, 11], [62, 82, 31], [19, 38, 58]] ------------------------------ Epoch 1360 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.517872 - Iter 024 / 025, Loss: 0.544701 * Train accuracy / confusion: 75.75% / [[297, 52, 9], [61, 173, 32], [13, 27, 136]], * Val accuracy / confusion: 58.46% / [[166, 44, 20], [74, 77, 24], [14, 40, 61]] ------------------------------ Epoch 1361 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.923677 - Iter 024 / 025, Loss: 0.690235 * Train accuracy / confusion: 76.00% / [[296, 52, 8], [71, 173, 22], [10, 29, 139]], * Val accuracy / confusion: 57.50% / [[153, 64, 13], [59, 88, 28], [18, 39, 58]] ------------------------------ Epoch 1362 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372912 - Iter 024 / 025, Loss: 0.424994 * Train accuracy / confusion: 78.00% / [[300, 45, 9], [60, 184, 23], [15, 24, 140]], * Val accuracy / confusion: 58.08% / [[155, 55, 20], [61, 90, 24], [13, 45, 57]] ------------------------------ Epoch 1363 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.676201 - Iter 024 / 025, Loss: 0.737756 * Train accuracy / confusion: 74.12% / [[289, 51, 14], [67, 184, 19], [17, 39, 120]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [75, 83, 17], [14, 50, 51]] ------------------------------ Epoch 1364 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541171 - Iter 024 / 025, Loss: 0.621076 * Train accuracy / confusion: 75.25% / [[297, 46, 12], [71, 170, 24], [16, 29, 135]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [62, 84, 29], [16, 39, 60]] ------------------------------ Epoch 1365 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448692 - Iter 024 / 025, Loss: 0.425373 * Train accuracy / confusion: 76.88% / [[301, 42, 11], [69, 176, 25], [14, 24, 138]], * Val accuracy / confusion: 59.62% / [[160, 55, 15], [62, 90, 23], [14, 41, 60]] ------------------------------ Epoch 1366 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.682172 - Iter 024 / 025, Loss: 0.573994 * Train accuracy / confusion: 76.38% / [[307, 39, 7], [71, 173, 27], [9, 36, 131]], * Val accuracy / confusion: 58.27% / [[153, 64, 13], [57, 91, 27], [18, 38, 59]] ------------------------------ Epoch 1367 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372090 - Iter 024 / 025, Loss: 0.476941 * Train accuracy / confusion: 76.50% / [[295, 51, 10], [66, 177, 23], [15, 23, 140]], * Val accuracy / confusion: 55.77% / [[142, 71, 17], [57, 90, 28], [19, 38, 58]] ------------------------------ Epoch 1368 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.581364 - Iter 024 / 025, Loss: 0.413245 * Train accuracy / confusion: 77.38% / [[301, 47, 9], [64, 184, 19], [13, 29, 134]], * Val accuracy / confusion: 54.42% / [[151, 58, 21], [66, 83, 26], [20, 46, 49]] ------------------------------ Epoch 1369 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509923 - Iter 024 / 025, Loss: 0.481712 * Train accuracy / confusion: 77.00% / [[308, 47, 6], [65, 174, 27], [6, 33, 134]], * Val accuracy / confusion: 58.46% / [[162, 54, 14], [61, 87, 27], [16, 44, 55]] ------------------------------ Epoch 1370 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689762 - Iter 024 / 025, Loss: 0.475166 * Train accuracy / confusion: 74.75% / [[289, 56, 11], [71, 179, 18], [10, 36, 130]], * Val accuracy / confusion: 57.69% / [[157, 55, 18], [63, 93, 19], [20, 45, 50]] ------------------------------ Epoch 1371 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484735 - Iter 024 / 025, Loss: 0.358290 * Train accuracy / confusion: 75.75% / [[294, 47, 14], [62, 183, 21], [13, 37, 129]], * Val accuracy / confusion: 58.65% / [[154, 63, 13], [58, 94, 23], [17, 41, 57]] ------------------------------ Epoch 1372 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.444958 - Iter 024 / 025, Loss: 0.439315 * Train accuracy / confusion: 77.12% / [[300, 43, 11], [63, 184, 22], [7, 37, 133]], * Val accuracy / confusion: 53.65% / [[150, 61, 19], [66, 77, 32], [20, 43, 52]] ------------------------------ Epoch 1373 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552495 - Iter 024 / 025, Loss: 0.636682 * Train accuracy / confusion: 76.50% / [[299, 47, 8], [64, 179, 22], [15, 32, 134]], * Val accuracy / confusion: 59.04% / [[159, 52, 19], [67, 89, 19], [14, 42, 59]] ------------------------------ Epoch 1374 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.470284 - Iter 024 / 025, Loss: 0.492738 * Train accuracy / confusion: 75.12% / [[301, 46, 10], [64, 173, 28], [22, 29, 127]], * Val accuracy / confusion: 55.00% / [[148, 64, 18], [62, 86, 27], [10, 53, 52]] ------------------------------ Epoch 1375 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515523 - Iter 024 / 025, Loss: 0.754328 * Train accuracy / confusion: 76.12% / [[302, 50, 9], [60, 178, 30], [8, 34, 129]], * Val accuracy / confusion: 56.15% / [[149, 63, 18], [57, 92, 26], [15, 49, 51]] ------------------------------ Epoch 1376 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572931 - Iter 024 / 025, Loss: 0.529383 * Train accuracy / confusion: 76.00% / [[304, 48, 8], [66, 175, 27], [13, 30, 129]], * Val accuracy / confusion: 56.92% / [[162, 54, 14], [66, 79, 30], [20, 40, 55]] ------------------------------ Epoch 1377 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.655526 - Iter 024 / 025, Loss: 0.300757 * Train accuracy / confusion: 75.12% / [[297, 58, 7], [65, 170, 28], [14, 27, 134]], * Val accuracy / confusion: 55.38% / [[147, 60, 23], [67, 83, 25], [17, 40, 58]] ------------------------------ Epoch 1378 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.757019 - Iter 024 / 025, Loss: 0.526597 * Train accuracy / confusion: 74.12% / [[285, 54, 14], [64, 177, 28], [10, 37, 131]], * Val accuracy / confusion: 57.31% / [[158, 54, 18], [61, 91, 23], [18, 48, 49]] ------------------------------ Epoch 1379 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.564934 - Iter 024 / 025, Loss: 0.550625 * Train accuracy / confusion: 74.62% / [[297, 44, 13], [77, 166, 26], [12, 31, 134]], * Val accuracy / confusion: 58.08% / [[149, 69, 12], [58, 91, 26], [17, 36, 62]] ------------------------------ Epoch 1380 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511972 - Iter 024 / 025, Loss: 0.340544 * Train accuracy / confusion: 78.38% / [[302, 47, 7], [60, 186, 20], [10, 29, 139]], * Val accuracy / confusion: 58.08% / [[156, 59, 15], [58, 93, 24], [21, 41, 53]] ------------------------------ Epoch 1381 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.618310 - Iter 024 / 025, Loss: 0.558175 * Train accuracy / confusion: 78.00% / [[301, 48, 6], [60, 192, 18], [17, 27, 131]], * Val accuracy / confusion: 58.08% / [[159, 52, 19], [58, 89, 28], [19, 42, 54]] ------------------------------ Epoch 1382 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490624 - Iter 024 / 025, Loss: 0.505450 * Train accuracy / confusion: 77.38% / [[299, 52, 7], [52, 190, 27], [9, 34, 130]], * Val accuracy / confusion: 54.42% / [[155, 64, 11], [70, 75, 30], [14, 48, 53]] ------------------------------ Epoch 1383 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.425749 - Iter 024 / 025, Loss: 0.464457 * Train accuracy / confusion: 78.50% / [[314, 35, 11], [62, 181, 21], [14, 29, 133]], * Val accuracy / confusion: 57.69% / [[157, 57, 16], [58, 91, 26], [21, 42, 52]] ------------------------------ Epoch 1384 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.605205 - Iter 024 / 025, Loss: 0.513916 * Train accuracy / confusion: 74.25% / [[295, 46, 15], [67, 176, 24], [11, 43, 123]], * Val accuracy / confusion: 56.92% / [[158, 55, 17], [56, 86, 33], [21, 42, 52]] ------------------------------ Epoch 1385 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596204 - Iter 024 / 025, Loss: 0.698210 * Train accuracy / confusion: 77.38% / [[305, 46, 6], [61, 177, 26], [16, 26, 137]], * Val accuracy / confusion: 60.19% / [[156, 58, 16], [55, 103, 17], [18, 43, 54]] ------------------------------ Epoch 1386 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.573131 - Iter 024 / 025, Loss: 0.409400 * Train accuracy / confusion: 79.38% / [[305, 46, 10], [57, 190, 15], [8, 29, 140]], * Val accuracy / confusion: 55.00% / [[150, 62, 18], [62, 91, 22], [22, 48, 45]] ------------------------------ Epoch 1387 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.521289 - Iter 024 / 025, Loss: 0.640999 * Train accuracy / confusion: 78.25% / [[302, 37, 14], [65, 186, 21], [9, 28, 138]], * Val accuracy / confusion: 59.42% / [[158, 56, 16], [57, 96, 22], [15, 45, 55]] ------------------------------ Epoch 1388 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438037 - Iter 024 / 025, Loss: 0.513128 * Train accuracy / confusion: 75.75% / [[298, 44, 13], [64, 181, 25], [19, 29, 127]], * Val accuracy / confusion: 58.46% / [[164, 55, 11], [64, 87, 24], [20, 42, 53]] ------------------------------ Epoch 1389 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459226 - Iter 024 / 025, Loss: 0.472904 * Train accuracy / confusion: 75.38% / [[303, 40, 13], [61, 181, 26], [13, 44, 119]], * Val accuracy / confusion: 58.85% / [[153, 59, 18], [63, 91, 21], [18, 35, 62]] ------------------------------ Epoch 1390 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.389425 - Iter 024 / 025, Loss: 0.596228 * Train accuracy / confusion: 77.00% / [[287, 49, 18], [61, 193, 13], [12, 31, 136]], * Val accuracy / confusion: 58.08% / [[160, 49, 21], [59, 92, 24], [19, 46, 50]] ------------------------------ Epoch 1391 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613517 - Iter 024 / 025, Loss: 0.564928 * Train accuracy / confusion: 76.88% / [[305, 39, 13], [61, 185, 22], [22, 28, 125]], * Val accuracy / confusion: 60.00% / [[168, 55, 7], [57, 95, 23], [14, 52, 49]] ------------------------------ Epoch 1392 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.748920 - Iter 024 / 025, Loss: 0.512447 * Train accuracy / confusion: 77.38% / [[300, 42, 12], [62, 180, 27], [12, 26, 139]], * Val accuracy / confusion: 54.81% / [[152, 63, 15], [67, 87, 21], [22, 47, 46]] ------------------------------ Epoch 1393 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.667560 - Iter 024 / 025, Loss: 0.463051 * Train accuracy / confusion: 79.00% / [[308, 47, 3], [60, 187, 18], [9, 31, 137]], * Val accuracy / confusion: 55.77% / [[152, 59, 19], [67, 83, 25], [18, 42, 55]] ------------------------------ Epoch 1394 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482694 - Iter 024 / 025, Loss: 0.592911 * Train accuracy / confusion: 75.00% / [[304, 39, 10], [71, 175, 24], [15, 41, 121]], * Val accuracy / confusion: 53.85% / [[149, 56, 25], [68, 82, 25], [22, 44, 49]] ------------------------------ Epoch 1395 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.464855 - Iter 024 / 025, Loss: 0.444658 * Train accuracy / confusion: 76.00% / [[304, 41, 12], [60, 174, 32], [13, 34, 130]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [60, 86, 29], [12, 47, 56]] ------------------------------ Epoch 1396 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.896753 - Iter 024 / 025, Loss: 0.514175 * Train accuracy / confusion: 77.75% / [[305, 43, 10], [59, 184, 22], [15, 29, 133]], * Val accuracy / confusion: 60.00% / [[163, 52, 15], [60, 92, 23], [20, 38, 57]] ------------------------------ Epoch 1397 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.460997 - Iter 024 / 025, Loss: 0.449322 * Train accuracy / confusion: 78.62% / [[299, 52, 4], [50, 193, 26], [9, 30, 137]], * Val accuracy / confusion: 57.31% / [[155, 66, 9], [65, 90, 20], [22, 40, 53]] ------------------------------ Epoch 1398 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.525207 - Iter 024 / 025, Loss: 0.513962 * Train accuracy / confusion: 75.25% / [[300, 43, 10], [72, 172, 26], [10, 37, 130]], * Val accuracy / confusion: 59.04% / [[156, 62, 12], [58, 95, 22], [22, 37, 56]] ------------------------------ Epoch 1399 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423035 - Iter 024 / 025, Loss: 0.417835 * Train accuracy / confusion: 76.12% / [[299, 43, 13], [70, 175, 24], [7, 34, 135]], * Val accuracy / confusion: 57.31% / [[164, 51, 15], [63, 91, 21], [17, 55, 43]] ------------------------------ Epoch 1400 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.742602 - Iter 024 / 025, Loss: 0.387460 * Train accuracy / confusion: 75.62% / [[299, 43, 10], [67, 183, 20], [14, 41, 123]], * Val accuracy / confusion: 56.35% / [[151, 65, 14], [59, 83, 33], [17, 39, 59]] ------------------------------ Epoch 1401 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562574 - Iter 024 / 025, Loss: 0.541132 * Train accuracy / confusion: 75.12% / [[296, 50, 10], [64, 180, 20], [15, 40, 125]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [66, 85, 24], [16, 45, 54]] ------------------------------ Epoch 1402 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.659810 - Iter 024 / 025, Loss: 0.529237 * Train accuracy / confusion: 76.50% / [[306, 44, 9], [66, 178, 24], [16, 29, 128]], * Val accuracy / confusion: 60.38% / [[155, 59, 16], [49, 102, 24], [18, 40, 57]] ------------------------------ Epoch 1403 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453847 - Iter 024 / 025, Loss: 0.378150 * Train accuracy / confusion: 74.62% / [[302, 45, 14], [70, 170, 27], [15, 32, 125]], * Val accuracy / confusion: 59.62% / [[164, 50, 16], [66, 92, 17], [18, 43, 54]] ------------------------------ Epoch 1404 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.778302 - Iter 024 / 025, Loss: 0.366950 * Train accuracy / confusion: 77.25% / [[300, 48, 7], [58, 186, 23], [14, 32, 132]], * Val accuracy / confusion: 57.88% / [[159, 55, 16], [69, 83, 23], [18, 38, 59]] ------------------------------ Epoch 1405 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519029 - Iter 024 / 025, Loss: 0.327430 * Train accuracy / confusion: 78.25% / [[297, 55, 6], [60, 185, 17], [10, 26, 144]], * Val accuracy / confusion: 59.81% / [[169, 46, 15], [58, 85, 32], [19, 39, 57]] ------------------------------ Epoch 1406 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.536898 - Iter 024 / 025, Loss: 0.493989 * Train accuracy / confusion: 75.38% / [[293, 53, 6], [69, 174, 26], [12, 31, 136]], * Val accuracy / confusion: 57.69% / [[159, 55, 16], [63, 90, 22], [16, 48, 51]] ------------------------------ Epoch 1407 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459828 - Iter 024 / 025, Loss: 0.455951 * Train accuracy / confusion: 76.75% / [[297, 47, 12], [58, 183, 27], [15, 27, 134]], * Val accuracy / confusion: 55.19% / [[158, 54, 18], [70, 80, 25], [17, 49, 49]] ------------------------------ Epoch 1408 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450738 - Iter 024 / 025, Loss: 0.610277 * Train accuracy / confusion: 78.50% / [[308, 43, 8], [56, 182, 25], [8, 32, 138]], * Val accuracy / confusion: 60.00% / [[162, 51, 17], [68, 91, 16], [16, 40, 59]] ------------------------------ Epoch 1409 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.421279 - Iter 024 / 025, Loss: 0.752342 * Train accuracy / confusion: 75.12% / [[296, 50, 9], [73, 176, 19], [6, 42, 129]], * Val accuracy / confusion: 56.73% / [[153, 59, 18], [64, 83, 28], [15, 41, 59]] ------------------------------ Epoch 1410 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.548361 - Iter 024 / 025, Loss: 0.464610 * Train accuracy / confusion: 78.00% / [[307, 41, 6], [61, 187, 22], [14, 32, 130]], * Val accuracy / confusion: 57.31% / [[151, 62, 17], [55, 93, 27], [16, 45, 54]] ------------------------------ Epoch 1411 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498848 - Iter 024 / 025, Loss: 0.594741 * Train accuracy / confusion: 76.25% / [[296, 49, 7], [67, 178, 26], [12, 29, 136]], * Val accuracy / confusion: 56.35% / [[157, 54, 19], [66, 80, 29], [16, 43, 56]] ------------------------------ Epoch 1412 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.367346 - Iter 024 / 025, Loss: 0.413786 * Train accuracy / confusion: 78.38% / [[306, 41, 11], [61, 190, 19], [15, 26, 131]], * Val accuracy / confusion: 60.19% / [[158, 61, 11], [56, 92, 27], [16, 36, 63]] ------------------------------ Epoch 1413 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620095 - Iter 024 / 025, Loss: 0.604905 * Train accuracy / confusion: 75.38% / [[302, 49, 6], [72, 174, 21], [15, 34, 127]], * Val accuracy / confusion: 55.38% / [[147, 66, 17], [67, 85, 23], [21, 38, 56]] ------------------------------ Epoch 1414 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542120 - Iter 024 / 025, Loss: 0.422993 * Train accuracy / confusion: 76.75% / [[294, 45, 12], [61, 190, 22], [18, 28, 130]], * Val accuracy / confusion: 58.08% / [[154, 61, 15], [60, 94, 21], [17, 44, 54]] ------------------------------ Epoch 1415 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558203 - Iter 024 / 025, Loss: 0.537542 * Train accuracy / confusion: 76.38% / [[305, 43, 8], [56, 173, 38], [10, 34, 133]], * Val accuracy / confusion: 55.77% / [[154, 59, 17], [59, 91, 25], [18, 52, 45]] ------------------------------ Epoch 1416 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612742 - Iter 024 / 025, Loss: 0.449096 * Train accuracy / confusion: 74.75% / [[294, 48, 17], [67, 177, 26], [12, 32, 127]], * Val accuracy / confusion: 58.85% / [[156, 55, 19], [52, 98, 25], [18, 45, 52]] ------------------------------ Epoch 1417 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.545390 - Iter 024 / 025, Loss: 0.415058 * Train accuracy / confusion: 74.25% / [[284, 49, 19], [68, 179, 26], [9, 35, 131]], * Val accuracy / confusion: 58.08% / [[153, 59, 18], [65, 89, 21], [17, 38, 60]] ------------------------------ Epoch 1418 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.730380 - Iter 024 / 025, Loss: 0.515088 * Train accuracy / confusion: 76.38% / [[290, 47, 17], [61, 189, 18], [17, 29, 132]], * Val accuracy / confusion: 58.46% / [[164, 56, 10], [64, 88, 23], [14, 49, 52]] ------------------------------ Epoch 1419 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.598737 - Iter 024 / 025, Loss: 0.593096 * Train accuracy / confusion: 76.62% / [[299, 42, 9], [65, 181, 25], [17, 29, 133]], * Val accuracy / confusion: 59.42% / [[164, 51, 15], [64, 89, 22], [16, 43, 56]] ------------------------------ Epoch 1420 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.446006 - Iter 024 / 025, Loss: 0.409135 * Train accuracy / confusion: 77.62% / [[294, 47, 10], [51, 195, 25], [16, 30, 132]], * Val accuracy / confusion: 58.08% / [[174, 42, 14], [74, 80, 21], [21, 46, 48]] ------------------------------ Epoch 1421 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557830 - Iter 024 / 025, Loss: 0.513461 * Train accuracy / confusion: 79.25% / [[300, 45, 12], [58, 194, 17], [6, 28, 140]], * Val accuracy / confusion: 56.73% / [[157, 60, 13], [64, 90, 21], [20, 47, 48]] ------------------------------ Epoch 1422 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.428198 - Iter 024 / 025, Loss: 0.664846 * Train accuracy / confusion: 77.62% / [[296, 49, 9], [59, 189, 21], [12, 29, 136]], * Val accuracy / confusion: 56.15% / [[154, 57, 19], [73, 85, 17], [16, 46, 53]] ------------------------------ Epoch 1423 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.526930 - Iter 024 / 025, Loss: 0.483783 * Train accuracy / confusion: 77.25% / [[301, 47, 11], [62, 188, 17], [12, 33, 129]], * Val accuracy / confusion: 57.69% / [[155, 56, 19], [57, 88, 30], [14, 44, 57]] ------------------------------ Epoch 1424 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.367622 - Iter 024 / 025, Loss: 0.515493 * Train accuracy / confusion: 78.88% / [[309, 41, 9], [64, 186, 19], [11, 25, 136]], * Val accuracy / confusion: 56.73% / [[160, 50, 20], [65, 88, 22], [20, 48, 47]] ------------------------------ Epoch 1425 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.504312 - Iter 024 / 025, Loss: 0.481413 * Train accuracy / confusion: 74.00% / [[293, 54, 11], [64, 177, 27], [11, 41, 122]], * Val accuracy / confusion: 57.31% / [[149, 63, 18], [61, 91, 23], [15, 42, 58]] ------------------------------ Epoch 1426 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.567237 - Iter 024 / 025, Loss: 0.763754 * Train accuracy / confusion: 76.62% / [[293, 51, 11], [61, 180, 24], [12, 28, 140]], * Val accuracy / confusion: 60.00% / [[155, 58, 17], [56, 94, 25], [17, 35, 63]] ------------------------------ Epoch 1427 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.676122 - Iter 024 / 025, Loss: 0.665074 * Train accuracy / confusion: 77.88% / [[300, 43, 15], [59, 187, 22], [11, 27, 136]], * Val accuracy / confusion: 57.88% / [[163, 53, 14], [62, 83, 30], [16, 44, 55]] ------------------------------ Epoch 1428 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448386 - Iter 024 / 025, Loss: 0.507000 * Train accuracy / confusion: 75.88% / [[292, 48, 16], [63, 183, 24], [11, 31, 132]], * Val accuracy / confusion: 59.81% / [[158, 57, 15], [55, 91, 29], [19, 34, 62]] ------------------------------ Epoch 1429 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443537 - Iter 024 / 025, Loss: 0.445556 * Train accuracy / confusion: 77.00% / [[299, 52, 4], [62, 182, 26], [14, 26, 135]], * Val accuracy / confusion: 59.23% / [[161, 54, 15], [61, 89, 25], [19, 38, 58]] ------------------------------ Epoch 1430 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515204 - Iter 024 / 025, Loss: 0.473926 * Train accuracy / confusion: 78.62% / [[310, 34, 13], [53, 190, 23], [11, 37, 129]], * Val accuracy / confusion: 54.81% / [[151, 65, 14], [66, 81, 28], [22, 40, 53]] ------------------------------ Epoch 1431 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.345636 - Iter 024 / 025, Loss: 0.528639 * Train accuracy / confusion: 79.12% / [[302, 46, 7], [51, 200, 19], [10, 34, 131]], * Val accuracy / confusion: 56.15% / [[156, 58, 16], [66, 87, 22], [22, 44, 49]] ------------------------------ Epoch 1432 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.415239 - Iter 024 / 025, Loss: 0.516623 * Train accuracy / confusion: 77.62% / [[302, 47, 10], [58, 183, 24], [12, 28, 136]], * Val accuracy / confusion: 57.69% / [[160, 58, 12], [61, 91, 23], [19, 47, 49]] ------------------------------ Epoch 1433 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482827 - Iter 024 / 025, Loss: 0.382340 * Train accuracy / confusion: 77.12% / [[295, 49, 11], [58, 188, 24], [10, 31, 134]], * Val accuracy / confusion: 58.85% / [[156, 54, 20], [58, 91, 26], [15, 41, 59]] ------------------------------ Epoch 1434 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490783 - Iter 024 / 025, Loss: 0.590299 * Train accuracy / confusion: 75.50% / [[293, 42, 20], [66, 177, 26], [11, 31, 134]], * Val accuracy / confusion: 57.50% / [[155, 54, 21], [56, 95, 24], [20, 46, 49]] ------------------------------ Epoch 1435 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563324 - Iter 024 / 025, Loss: 0.524520 * Train accuracy / confusion: 74.50% / [[295, 48, 10], [68, 172, 29], [21, 28, 129]], * Val accuracy / confusion: 56.54% / [[152, 57, 21], [61, 88, 26], [23, 38, 54]] ------------------------------ Epoch 1436 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.942291 - Iter 024 / 025, Loss: 0.519933 * Train accuracy / confusion: 77.25% / [[301, 46, 13], [62, 182, 24], [12, 25, 135]], * Val accuracy / confusion: 56.92% / [[163, 51, 16], [67, 84, 24], [19, 47, 49]] ------------------------------ Epoch 1437 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.441321 - Iter 024 / 025, Loss: 0.621501 * Train accuracy / confusion: 75.12% / [[297, 50, 10], [59, 176, 29], [8, 43, 128]], * Val accuracy / confusion: 55.96% / [[155, 55, 20], [68, 83, 24], [18, 44, 53]] ------------------------------ Epoch 1438 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.604471 - Iter 024 / 025, Loss: 0.493460 * Train accuracy / confusion: 77.00% / [[312, 41, 8], [64, 175, 25], [13, 33, 129]], * Val accuracy / confusion: 59.04% / [[163, 57, 10], [68, 87, 20], [17, 41, 57]] ------------------------------ Epoch 1439 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.523719 - Iter 024 / 025, Loss: 0.542460 * Train accuracy / confusion: 74.38% / [[302, 47, 9], [67, 163, 36], [11, 35, 130]], * Val accuracy / confusion: 58.46% / [[164, 51, 15], [58, 83, 34], [16, 42, 57]] ------------------------------ Epoch 1440 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.978942 - Iter 024 / 025, Loss: 0.310939 * Train accuracy / confusion: 79.50% / [[308, 40, 10], [51, 194, 23], [12, 28, 134]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [61, 86, 28], [18, 42, 55]] ------------------------------ Epoch 1441 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.655374 - Iter 024 / 025, Loss: 0.475501 * Train accuracy / confusion: 77.88% / [[302, 39, 16], [62, 187, 20], [12, 28, 134]], * Val accuracy / confusion: 56.92% / [[153, 58, 19], [63, 86, 26], [20, 38, 57]] ------------------------------ Epoch 1442 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503125 - Iter 024 / 025, Loss: 0.630262 * Train accuracy / confusion: 75.75% / [[295, 44, 14], [74, 175, 21], [14, 27, 136]], * Val accuracy / confusion: 57.69% / [[149, 70, 11], [60, 97, 18], [17, 44, 54]] ------------------------------ Epoch 1443 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557038 - Iter 024 / 025, Loss: 0.550641 * Train accuracy / confusion: 77.88% / [[304, 39, 9], [61, 183, 24], [12, 32, 136]], * Val accuracy / confusion: 55.77% / [[152, 61, 17], [64, 88, 23], [16, 49, 50]] ------------------------------ Epoch 1444 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.581124 - Iter 024 / 025, Loss: 0.690586 * Train accuracy / confusion: 79.25% / [[304, 41, 11], [53, 192, 23], [11, 27, 138]], * Val accuracy / confusion: 60.58% / [[168, 45, 17], [55, 95, 25], [21, 42, 52]] ------------------------------ Epoch 1445 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561675 - Iter 024 / 025, Loss: 0.657180 * Train accuracy / confusion: 75.25% / [[296, 49, 8], [66, 174, 29], [10, 36, 132]], * Val accuracy / confusion: 58.27% / [[156, 59, 15], [58, 92, 25], [18, 42, 55]] ------------------------------ Epoch 1446 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.585932 - Iter 024 / 025, Loss: 0.491349 * Train accuracy / confusion: 77.50% / [[299, 46, 10], [54, 188, 24], [13, 33, 133]], * Val accuracy / confusion: 60.00% / [[162, 55, 13], [58, 99, 18], [17, 47, 51]] ------------------------------ Epoch 1447 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.678862 - Iter 024 / 025, Loss: 0.426827 * Train accuracy / confusion: 75.12% / [[291, 53, 14], [53, 179, 32], [8, 39, 131]], * Val accuracy / confusion: 60.19% / [[158, 63, 9], [56, 100, 19], [15, 45, 55]] ------------------------------ Epoch 1448 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542848 - Iter 024 / 025, Loss: 0.575146 * Train accuracy / confusion: 75.75% / [[294, 57, 9], [58, 180, 29], [10, 31, 132]], * Val accuracy / confusion: 58.85% / [[150, 61, 19], [66, 96, 13], [16, 39, 60]] ------------------------------ Epoch 1449 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.494572 - Iter 024 / 025, Loss: 0.486786 * Train accuracy / confusion: 76.38% / [[296, 54, 6], [67, 181, 21], [8, 33, 134]], * Val accuracy / confusion: 58.08% / [[162, 51, 17], [64, 87, 24], [19, 43, 53]] ------------------------------ Epoch 1450 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410564 - Iter 024 / 025, Loss: 0.535984 * Train accuracy / confusion: 77.62% / [[301, 46, 10], [55, 189, 24], [10, 34, 131]], * Val accuracy / confusion: 60.77% / [[155, 62, 13], [53, 106, 16], [14, 46, 55]] ------------------------------ Epoch 1451 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.387018 - Iter 024 / 025, Loss: 0.665537 * Train accuracy / confusion: 77.50% / [[303, 45, 8], [66, 181, 21], [10, 30, 136]], * Val accuracy / confusion: 55.96% / [[163, 57, 10], [70, 80, 25], [19, 48, 48]] ------------------------------ Epoch 1452 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607348 - Iter 024 / 025, Loss: 0.421323 * Train accuracy / confusion: 77.88% / [[307, 41, 12], [52, 194, 21], [10, 41, 122]], * Val accuracy / confusion: 59.04% / [[159, 52, 19], [57, 91, 27], [16, 42, 57]] ------------------------------ Epoch 1453 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590898 - Iter 024 / 025, Loss: 0.573157 * Train accuracy / confusion: 74.50% / [[292, 58, 6], [68, 171, 31], [15, 26, 133]], * Val accuracy / confusion: 58.27% / [[150, 67, 13], [60, 91, 24], [16, 37, 62]] ------------------------------ Epoch 1454 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.686559 - Iter 024 / 025, Loss: 0.575719 * Train accuracy / confusion: 77.25% / [[300, 46, 11], [61, 184, 20], [11, 33, 134]], * Val accuracy / confusion: 55.77% / [[139, 72, 19], [61, 99, 15], [15, 48, 52]] ------------------------------ Epoch 1455 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.721802 - Iter 024 / 025, Loss: 0.587775 * Train accuracy / confusion: 77.62% / [[306, 37, 12], [58, 182, 26], [10, 36, 133]], * Val accuracy / confusion: 52.69% / [[146, 70, 14], [65, 79, 31], [19, 47, 49]] ------------------------------ Epoch 1456 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.480149 - Iter 024 / 025, Loss: 0.500976 * Train accuracy / confusion: 76.12% / [[304, 45, 12], [59, 182, 24], [18, 33, 123]], * Val accuracy / confusion: 57.69% / [[148, 65, 17], [58, 94, 23], [15, 42, 58]] ------------------------------ Epoch 1457 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.444970 - Iter 024 / 025, Loss: 0.402696 * Train accuracy / confusion: 79.12% / [[306, 40, 9], [57, 195, 19], [11, 31, 132]], * Val accuracy / confusion: 56.92% / [[156, 58, 16], [69, 84, 22], [14, 45, 56]] ------------------------------ Epoch 1458 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575971 - Iter 024 / 025, Loss: 0.652692 * Train accuracy / confusion: 80.50% / [[315, 32, 9], [46, 194, 30], [14, 25, 135]], * Val accuracy / confusion: 56.15% / [[155, 49, 26], [63, 78, 34], [13, 43, 59]] ------------------------------ Epoch 1459 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484648 - Iter 024 / 025, Loss: 0.524117 * Train accuracy / confusion: 77.62% / [[311, 41, 8], [66, 176, 22], [10, 32, 134]], * Val accuracy / confusion: 56.54% / [[148, 61, 21], [61, 96, 18], [18, 47, 50]] ------------------------------ Epoch 1460 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.435010 - Iter 024 / 025, Loss: 0.609764 * Train accuracy / confusion: 74.50% / [[298, 57, 7], [75, 171, 17], [13, 35, 127]], * Val accuracy / confusion: 56.73% / [[155, 61, 14], [62, 88, 25], [18, 45, 52]] ------------------------------ Epoch 1461 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563378 - Iter 024 / 025, Loss: 0.479678 * Train accuracy / confusion: 76.12% / [[286, 58, 10], [58, 192, 20], [15, 30, 131]], * Val accuracy / confusion: 54.81% / [[146, 62, 22], [63, 88, 24], [17, 47, 51]] ------------------------------ Epoch 1462 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.595001 - Iter 024 / 025, Loss: 0.598859 * Train accuracy / confusion: 77.88% / [[302, 45, 11], [57, 188, 20], [13, 31, 133]], * Val accuracy / confusion: 56.54% / [[149, 63, 18], [61, 86, 28], [15, 41, 59]] ------------------------------ Epoch 1463 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649503 - Iter 024 / 025, Loss: 0.429355 * Train accuracy / confusion: 74.75% / [[294, 51, 12], [63, 179, 28], [17, 31, 125]], * Val accuracy / confusion: 56.35% / [[153, 53, 24], [61, 90, 24], [16, 49, 50]] ------------------------------ Epoch 1464 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.617149 - Iter 024 / 025, Loss: 0.514356 * Train accuracy / confusion: 76.00% / [[296, 44, 11], [59, 183, 32], [17, 29, 129]], * Val accuracy / confusion: 58.08% / [[164, 51, 15], [62, 83, 30], [22, 38, 55]] ------------------------------ Epoch 1465 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607017 - Iter 024 / 025, Loss: 0.464376 * Train accuracy / confusion: 74.50% / [[291, 53, 12], [73, 168, 27], [14, 25, 137]], * Val accuracy / confusion: 55.58% / [[152, 64, 14], [65, 84, 26], [16, 46, 53]] ------------------------------ Epoch 1466 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558757 - Iter 024 / 025, Loss: 0.443264 * Train accuracy / confusion: 76.62% / [[297, 53, 8], [67, 182, 19], [10, 30, 134]], * Val accuracy / confusion: 61.54% / [[163, 53, 14], [54, 97, 24], [19, 36, 60]] ------------------------------ Epoch 1467 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.527142 - Iter 024 / 025, Loss: 0.371361 * Train accuracy / confusion: 76.38% / [[301, 44, 9], [60, 180, 28], [12, 36, 130]], * Val accuracy / confusion: 56.35% / [[157, 63, 10], [65, 86, 24], [20, 45, 50]] ------------------------------ Epoch 1468 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.397211 - Iter 024 / 025, Loss: 0.434939 * Train accuracy / confusion: 76.25% / [[294, 55, 9], [57, 184, 23], [12, 34, 132]], * Val accuracy / confusion: 55.77% / [[154, 63, 13], [65, 82, 28], [19, 42, 54]] ------------------------------ Epoch 1469 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469089 - Iter 024 / 025, Loss: 0.405299 * Train accuracy / confusion: 77.50% / [[299, 47, 7], [59, 187, 25], [12, 30, 134]], * Val accuracy / confusion: 56.35% / [[150, 59, 21], [55, 90, 30], [19, 43, 53]] ------------------------------ Epoch 1470 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575594 - Iter 024 / 025, Loss: 0.585528 * Train accuracy / confusion: 76.88% / [[291, 46, 17], [62, 187, 19], [13, 28, 137]], * Val accuracy / confusion: 57.31% / [[156, 59, 15], [63, 87, 25], [11, 49, 55]] ------------------------------ Epoch 1471 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.522808 - Iter 024 / 025, Loss: 0.531064 * Train accuracy / confusion: 75.62% / [[299, 49, 8], [66, 177, 24], [13, 35, 129]], * Val accuracy / confusion: 58.08% / [[155, 56, 19], [60, 93, 22], [16, 45, 54]] ------------------------------ Epoch 1472 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.315319 - Iter 024 / 025, Loss: 0.930061 * Train accuracy / confusion: 77.62% / [[301, 50, 9], [63, 184, 18], [8, 31, 136]], * Val accuracy / confusion: 57.69% / [[154, 57, 19], [57, 93, 25], [14, 48, 53]] ------------------------------ Epoch 1473 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.406076 - Iter 024 / 025, Loss: 0.695553 * Train accuracy / confusion: 79.12% / [[307, 39, 10], [57, 191, 20], [13, 28, 135]], * Val accuracy / confusion: 58.27% / [[156, 55, 19], [57, 98, 20], [19, 47, 49]] ------------------------------ Epoch 1474 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.546723 - Iter 024 / 025, Loss: 0.379768 * Train accuracy / confusion: 76.12% / [[297, 48, 14], [53, 192, 25], [13, 38, 120]], * Val accuracy / confusion: 56.92% / [[154, 67, 9], [63, 83, 29], [22, 34, 59]] ------------------------------ Epoch 1475 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.639834 - Iter 024 / 025, Loss: 0.639332 * Train accuracy / confusion: 74.88% / [[299, 45, 12], [65, 174, 31], [12, 36, 126]], * Val accuracy / confusion: 57.50% / [[154, 68, 8], [60, 91, 24], [17, 44, 54]] ------------------------------ Epoch 1476 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.434783 - Iter 024 / 025, Loss: 0.513319 * Train accuracy / confusion: 77.12% / [[299, 46, 8], [68, 181, 20], [11, 30, 137]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [63, 87, 25], [17, 45, 53]] ------------------------------ Epoch 1477 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.598952 - Iter 024 / 025, Loss: 0.580438 * Train accuracy / confusion: 78.88% / [[317, 33, 7], [63, 179, 23], [10, 33, 135]], * Val accuracy / confusion: 56.15% / [[161, 56, 13], [64, 78, 33], [17, 45, 53]] ------------------------------ Epoch 1478 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.447242 - Iter 024 / 025, Loss: 0.683419 * Train accuracy / confusion: 78.62% / [[300, 48, 7], [59, 189, 18], [7, 32, 140]], * Val accuracy / confusion: 55.00% / [[150, 64, 16], [65, 79, 31], [20, 38, 57]] ------------------------------ Epoch 1479 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606267 - Iter 024 / 025, Loss: 0.471776 * Train accuracy / confusion: 75.75% / [[286, 54, 12], [63, 188, 17], [15, 33, 132]], * Val accuracy / confusion: 58.85% / [[154, 55, 21], [61, 96, 18], [16, 43, 56]] ------------------------------ Epoch 1480 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.427477 - Iter 024 / 025, Loss: 0.662645 * Train accuracy / confusion: 75.50% / [[305, 41, 15], [65, 170, 28], [12, 35, 129]], * Val accuracy / confusion: 59.62% / [[158, 57, 15], [58, 92, 25], [14, 41, 60]] ------------------------------ Epoch 1481 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.548584 - Iter 024 / 025, Loss: 0.462211 * Train accuracy / confusion: 76.38% / [[297, 47, 12], [70, 178, 22], [8, 30, 136]], * Val accuracy / confusion: 60.19% / [[164, 48, 18], [64, 87, 24], [18, 35, 62]] ------------------------------ Epoch 1482 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519927 - Iter 024 / 025, Loss: 0.569896 * Train accuracy / confusion: 76.62% / [[291, 49, 11], [67, 189, 18], [15, 27, 133]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [59, 94, 22], [18, 45, 52]] ------------------------------ Epoch 1483 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.386333 - Iter 024 / 025, Loss: 0.815209 * Train accuracy / confusion: 78.12% / [[304, 46, 3], [66, 186, 20], [10, 30, 135]], * Val accuracy / confusion: 58.27% / [[153, 60, 17], [60, 94, 21], [16, 43, 56]] ------------------------------ Epoch 1484 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448759 - Iter 024 / 025, Loss: 0.379058 * Train accuracy / confusion: 76.38% / [[298, 47, 13], [61, 184, 20], [18, 30, 129]], * Val accuracy / confusion: 56.73% / [[162, 50, 18], [67, 78, 30], [20, 40, 55]] ------------------------------ Epoch 1485 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.475773 - Iter 024 / 025, Loss: 0.411020 * Train accuracy / confusion: 76.25% / [[299, 47, 10], [61, 178, 27], [14, 31, 133]], * Val accuracy / confusion: 60.58% / [[163, 52, 15], [60, 92, 23], [15, 40, 60]] ------------------------------ Epoch 1486 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.451715 - Iter 024 / 025, Loss: 0.853811 * Train accuracy / confusion: 76.88% / [[298, 50, 8], [58, 188, 21], [9, 39, 129]], * Val accuracy / confusion: 56.15% / [[157, 58, 15], [61, 84, 30], [25, 39, 51]] ------------------------------ Epoch 1487 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.454101 - Iter 024 / 025, Loss: 0.327149 * Train accuracy / confusion: 77.25% / [[307, 40, 14], [60, 185, 22], [11, 35, 126]], * Val accuracy / confusion: 57.69% / [[154, 60, 16], [57, 101, 17], [19, 51, 45]] ------------------------------ Epoch 1488 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.569644 - Iter 024 / 025, Loss: 0.497915 * Train accuracy / confusion: 77.75% / [[303, 40, 10], [64, 183, 22], [17, 25, 136]], * Val accuracy / confusion: 58.85% / [[167, 47, 16], [59, 89, 27], [19, 46, 50]] ------------------------------ Epoch 1489 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.473759 - Iter 024 / 025, Loss: 0.380020 * Train accuracy / confusion: 79.62% / [[311, 43, 4], [64, 183, 21], [6, 25, 143]], * Val accuracy / confusion: 57.12% / [[156, 52, 22], [60, 87, 28], [19, 42, 54]] ------------------------------ Epoch 1490 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.475622 - Iter 024 / 025, Loss: 0.404672 * Train accuracy / confusion: 77.12% / [[307, 33, 9], [65, 188, 20], [14, 42, 122]], * Val accuracy / confusion: 58.08% / [[155, 53, 22], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 1491 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.505419 - Iter 024 / 025, Loss: 0.366858 * Train accuracy / confusion: 77.12% / [[311, 34, 9], [77, 172, 20], [15, 28, 134]], * Val accuracy / confusion: 57.88% / [[157, 53, 20], [63, 86, 26], [18, 39, 58]] ------------------------------ Epoch 1492 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.625518 - Iter 024 / 025, Loss: 0.456642 * Train accuracy / confusion: 75.88% / [[296, 50, 10], [58, 184, 25], [11, 39, 127]], * Val accuracy / confusion: 58.85% / [[164, 54, 12], [72, 88, 15], [19, 42, 54]] ------------------------------ Epoch 1493 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558069 - Iter 024 / 025, Loss: 0.525488 * Train accuracy / confusion: 77.50% / [[303, 48, 7], [61, 185, 18], [15, 31, 132]], * Val accuracy / confusion: 57.88% / [[157, 60, 13], [67, 84, 24], [16, 39, 60]] ------------------------------ Epoch 1494 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477521 - Iter 024 / 025, Loss: 0.625742 * Train accuracy / confusion: 74.25% / [[287, 58, 10], [64, 177, 25], [19, 30, 130]], * Val accuracy / confusion: 58.65% / [[157, 53, 20], [62, 91, 22], [17, 41, 57]] ------------------------------ Epoch 1495 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534785 - Iter 024 / 025, Loss: 0.464394 * Train accuracy / confusion: 76.62% / [[299, 49, 9], [64, 182, 20], [16, 29, 132]], * Val accuracy / confusion: 58.08% / [[161, 51, 18], [68, 83, 24], [17, 40, 58]] ------------------------------ Epoch 1496 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596310 - Iter 024 / 025, Loss: 0.310381 * Train accuracy / confusion: 76.62% / [[299, 49, 8], [63, 181, 24], [13, 30, 133]], * Val accuracy / confusion: 57.50% / [[159, 58, 13], [69, 85, 21], [12, 48, 55]] ------------------------------ Epoch 1497 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.518493 - Iter 024 / 025, Loss: 0.519861 * Train accuracy / confusion: 78.00% / [[302, 47, 7], [54, 191, 21], [11, 36, 131]], * Val accuracy / confusion: 60.00% / [[164, 56, 10], [61, 91, 23], [20, 38, 57]] ------------------------------ Epoch 1498 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.481799 - Iter 024 / 025, Loss: 0.408038 * Train accuracy / confusion: 78.88% / [[307, 46, 5], [57, 189, 18], [14, 29, 135]], * Val accuracy / confusion: 57.12% / [[159, 52, 19], [59, 86, 30], [21, 42, 52]] ------------------------------ Epoch 1499 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.420969 - Iter 024 / 025, Loss: 0.698967 * Train accuracy / confusion: 76.12% / [[299, 44, 12], [69, 179, 23], [16, 27, 131]], * Val accuracy / confusion: 56.92% / [[157, 59, 14], [68, 84, 23], [21, 39, 55]] ------------------------------ Epoch 1500 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.653886 - Iter 024 / 025, Loss: 0.544440 * Train accuracy / confusion: 75.62% / [[298, 44, 8], [61, 181, 29], [21, 32, 126]], * Val accuracy / confusion: 56.73% / [[153, 64, 13], [58, 88, 29], [18, 43, 54]] ------------------------------ Epoch 1501 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.605424 - Iter 024 / 025, Loss: 0.334107 * Train accuracy / confusion: 77.75% / [[301, 43, 14], [56, 183, 27], [6, 32, 138]], * Val accuracy / confusion: 57.31% / [[154, 58, 18], [61, 95, 19], [19, 47, 49]] ------------------------------ Epoch 1502 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606148 - Iter 024 / 025, Loss: 0.459447 * Train accuracy / confusion: 75.25% / [[292, 51, 11], [70, 173, 27], [15, 24, 137]], * Val accuracy / confusion: 56.35% / [[157, 58, 15], [61, 82, 32], [13, 48, 54]] ------------------------------ Epoch 1503 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.644637 - Iter 024 / 025, Loss: 0.677671 * Train accuracy / confusion: 75.12% / [[300, 46, 9], [59, 184, 28], [18, 39, 117]], * Val accuracy / confusion: 59.04% / [[156, 57, 17], [59, 91, 25], [16, 39, 60]] ------------------------------ Epoch 1504 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414154 - Iter 024 / 025, Loss: 0.634749 * Train accuracy / confusion: 76.12% / [[301, 46, 13], [60, 187, 22], [15, 35, 121]], * Val accuracy / confusion: 59.42% / [[150, 70, 10], [53, 102, 20], [17, 41, 57]] ------------------------------ Epoch 1505 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649089 - Iter 024 / 025, Loss: 0.682215 * Train accuracy / confusion: 77.00% / [[298, 44, 12], [66, 187, 19], [12, 31, 131]], * Val accuracy / confusion: 56.73% / [[153, 55, 22], [70, 83, 22], [20, 36, 59]] ------------------------------ Epoch 1506 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572711 - Iter 024 / 025, Loss: 0.543234 * Train accuracy / confusion: 75.25% / [[297, 42, 10], [69, 174, 29], [12, 36, 131]], * Val accuracy / confusion: 58.46% / [[156, 56, 18], [49, 95, 31], [17, 45, 53]] ------------------------------ Epoch 1507 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635068 - Iter 024 / 025, Loss: 0.532701 * Train accuracy / confusion: 78.88% / [[304, 40, 11], [66, 180, 21], [9, 22, 147]], * Val accuracy / confusion: 55.19% / [[155, 57, 18], [65, 78, 32], [16, 45, 54]] ------------------------------ Epoch 1508 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635882 - Iter 024 / 025, Loss: 0.396800 * Train accuracy / confusion: 75.75% / [[300, 54, 7], [66, 175, 25], [10, 32, 131]], * Val accuracy / confusion: 57.88% / [[158, 56, 16], [63, 88, 24], [17, 43, 55]] ------------------------------ Epoch 1509 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410175 - Iter 024 / 025, Loss: 0.476260 * Train accuracy / confusion: 76.38% / [[302, 43, 13], [69, 174, 24], [7, 33, 135]], * Val accuracy / confusion: 55.96% / [[146, 66, 18], [58, 87, 30], [16, 41, 58]] ------------------------------ Epoch 1510 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.492244 - Iter 024 / 025, Loss: 0.588366 * Train accuracy / confusion: 76.38% / [[292, 47, 14], [66, 180, 22], [14, 26, 139]], * Val accuracy / confusion: 56.73% / [[152, 57, 21], [60, 86, 29], [18, 40, 57]] ------------------------------ Epoch 1511 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.803964 - Iter 024 / 025, Loss: 0.417490 * Train accuracy / confusion: 79.00% / [[305, 46, 7], [53, 191, 19], [16, 27, 136]], * Val accuracy / confusion: 56.73% / [[151, 66, 13], [62, 86, 27], [19, 38, 58]] ------------------------------ Epoch 1512 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528755 - Iter 024 / 025, Loss: 0.634883 * Train accuracy / confusion: 76.62% / [[297, 53, 9], [61, 181, 26], [10, 28, 135]], * Val accuracy / confusion: 58.46% / [[163, 50, 17], [67, 85, 23], [18, 41, 56]] ------------------------------ Epoch 1513 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612570 - Iter 024 / 025, Loss: 0.563012 * Train accuracy / confusion: 74.62% / [[291, 53, 10], [66, 182, 24], [13, 37, 124]], * Val accuracy / confusion: 54.81% / [[148, 61, 21], [70, 82, 23], [17, 43, 55]] ------------------------------ Epoch 1514 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537584 - Iter 024 / 025, Loss: 0.464822 * Train accuracy / confusion: 77.00% / [[295, 52, 10], [58, 183, 22], [13, 29, 138]], * Val accuracy / confusion: 58.65% / [[155, 58, 17], [60, 85, 30], [10, 40, 65]] ------------------------------ Epoch 1515 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424202 - Iter 024 / 025, Loss: 0.755589 * Train accuracy / confusion: 76.88% / [[297, 45, 15], [61, 181, 25], [10, 29, 137]], * Val accuracy / confusion: 58.65% / [[150, 60, 20], [60, 92, 23], [14, 38, 63]] ------------------------------ Epoch 1516 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.855661 - Iter 024 / 025, Loss: 0.646802 * Train accuracy / confusion: 76.12% / [[300, 45, 11], [70, 174, 19], [17, 29, 135]], * Val accuracy / confusion: 57.31% / [[157, 63, 10], [66, 93, 16], [20, 47, 48]] ------------------------------ Epoch 1517 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418677 - Iter 024 / 025, Loss: 0.652204 * Train accuracy / confusion: 75.50% / [[301, 45, 11], [74, 170, 27], [9, 30, 133]], * Val accuracy / confusion: 58.08% / [[159, 59, 12], [62, 92, 21], [16, 48, 51]] ------------------------------ Epoch 1518 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.396663 - Iter 024 / 025, Loss: 0.469853 * Train accuracy / confusion: 76.75% / [[303, 43, 9], [68, 176, 23], [15, 28, 135]], * Val accuracy / confusion: 58.46% / [[154, 57, 19], [62, 89, 24], [22, 32, 61]] ------------------------------ Epoch 1519 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.399374 - Iter 024 / 025, Loss: 0.568880 * Train accuracy / confusion: 77.62% / [[301, 50, 7], [69, 181, 18], [7, 28, 139]], * Val accuracy / confusion: 57.31% / [[149, 66, 15], [58, 93, 24], [15, 44, 56]] ------------------------------ Epoch 1520 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657663 - Iter 024 / 025, Loss: 0.446448 * Train accuracy / confusion: 76.62% / [[300, 43, 11], [63, 180, 24], [11, 35, 133]], * Val accuracy / confusion: 54.04% / [[148, 64, 18], [63, 86, 26], [19, 49, 47]] ------------------------------ Epoch 1521 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.436107 - Iter 024 / 025, Loss: 0.697610 * Train accuracy / confusion: 78.38% / [[307, 43, 9], [57, 183, 28], [8, 28, 137]], * Val accuracy / confusion: 56.15% / [[150, 62, 18], [58, 82, 35], [17, 38, 60]] ------------------------------ Epoch 1522 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.576912 - Iter 024 / 025, Loss: 0.442130 * Train accuracy / confusion: 75.75% / [[300, 49, 10], [63, 171, 29], [17, 26, 135]], * Val accuracy / confusion: 59.04% / [[158, 56, 16], [57, 94, 24], [15, 45, 55]] ------------------------------ Epoch 1523 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511333 - Iter 024 / 025, Loss: 0.629713 * Train accuracy / confusion: 76.50% / [[295, 49, 11], [67, 185, 18], [11, 32, 132]], * Val accuracy / confusion: 59.42% / [[159, 53, 18], [60, 90, 25], [19, 36, 60]] ------------------------------ Epoch 1524 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.464962 - Iter 024 / 025, Loss: 0.431321 * Train accuracy / confusion: 79.12% / [[307, 33, 11], [53, 197, 22], [17, 31, 129]], * Val accuracy / confusion: 58.46% / [[163, 46, 21], [69, 84, 22], [17, 41, 57]] ------------------------------ Epoch 1525 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555754 - Iter 024 / 025, Loss: 0.440016 * Train accuracy / confusion: 78.00% / [[303, 43, 10], [63, 182, 22], [13, 25, 139]], * Val accuracy / confusion: 58.08% / [[160, 61, 9], [62, 88, 25], [20, 41, 54]] ------------------------------ Epoch 1526 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532764 - Iter 024 / 025, Loss: 0.585942 * Train accuracy / confusion: 76.88% / [[308, 34, 14], [67, 177, 22], [15, 33, 130]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [63, 93, 19], [20, 43, 52]] ------------------------------ Epoch 1527 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507822 - Iter 024 / 025, Loss: 0.416400 * Train accuracy / confusion: 77.62% / [[306, 42, 10], [60, 183, 23], [10, 34, 132]], * Val accuracy / confusion: 60.19% / [[169, 48, 13], [66, 84, 25], [15, 40, 60]] ------------------------------ Epoch 1528 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.462919 - Iter 024 / 025, Loss: 0.586570 * Train accuracy / confusion: 77.00% / [[307, 41, 8], [66, 180, 21], [20, 28, 129]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [62, 91, 22], [18, 49, 48]] ------------------------------ Epoch 1529 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.559116 - Iter 024 / 025, Loss: 0.691790 * Train accuracy / confusion: 78.25% / [[310, 39, 10], [62, 181, 23], [12, 28, 135]], * Val accuracy / confusion: 58.27% / [[158, 58, 14], [65, 89, 21], [19, 40, 56]] ------------------------------ Epoch 1530 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469053 - Iter 024 / 025, Loss: 0.657503 * Train accuracy / confusion: 74.12% / [[294, 48, 15], [68, 174, 23], [21, 32, 125]], * Val accuracy / confusion: 60.96% / [[160, 55, 15], [56, 97, 22], [16, 39, 60]] ------------------------------ Epoch 1531 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418844 - Iter 024 / 025, Loss: 0.599826 * Train accuracy / confusion: 77.88% / [[303, 43, 7], [63, 185, 25], [11, 28, 135]], * Val accuracy / confusion: 58.85% / [[158, 61, 11], [55, 95, 25], [13, 49, 53]] ------------------------------ Epoch 1532 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.420576 - Iter 024 / 025, Loss: 0.462137 * Train accuracy / confusion: 75.12% / [[287, 55, 11], [75, 177, 16], [13, 29, 137]], * Val accuracy / confusion: 58.85% / [[155, 59, 16], [58, 89, 28], [17, 36, 62]] ------------------------------ Epoch 1533 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.570156 - Iter 024 / 025, Loss: 0.746926 * Train accuracy / confusion: 75.00% / [[304, 39, 12], [73, 167, 29], [13, 34, 129]], * Val accuracy / confusion: 57.31% / [[160, 49, 21], [65, 82, 28], [17, 42, 56]] ------------------------------ Epoch 1534 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.416955 - Iter 024 / 025, Loss: 0.573737 * Train accuracy / confusion: 77.62% / [[298, 47, 10], [54, 183, 28], [11, 29, 140]], * Val accuracy / confusion: 58.65% / [[162, 60, 8], [62, 94, 19], [17, 49, 49]] ------------------------------ Epoch 1535 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.546424 - Iter 024 / 025, Loss: 0.776893 * Train accuracy / confusion: 78.00% / [[303, 42, 10], [64, 184, 22], [6, 32, 137]], * Val accuracy / confusion: 56.54% / [[163, 50, 17], [58, 85, 32], [21, 48, 46]] ------------------------------ Epoch 1536 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555184 - Iter 024 / 025, Loss: 0.436591 * Train accuracy / confusion: 78.38% / [[299, 48, 11], [58, 189, 20], [11, 25, 139]], * Val accuracy / confusion: 58.65% / [[157, 60, 13], [56, 93, 26], [17, 43, 55]] ------------------------------ Epoch 1537 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609909 - Iter 024 / 025, Loss: 0.693225 * Train accuracy / confusion: 73.62% / [[291, 52, 15], [72, 168, 26], [13, 33, 130]], * Val accuracy / confusion: 58.08% / [[146, 64, 20], [67, 93, 15], [13, 39, 63]] ------------------------------ Epoch 1538 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550117 - Iter 024 / 025, Loss: 0.492016 * Train accuracy / confusion: 79.62% / [[296, 53, 8], [53, 197, 17], [7, 25, 144]], * Val accuracy / confusion: 59.62% / [[161, 55, 14], [58, 96, 21], [17, 45, 53]] ------------------------------ Epoch 1539 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.652908 - Iter 024 / 025, Loss: 0.454559 * Train accuracy / confusion: 74.75% / [[297, 44, 11], [74, 175, 22], [16, 35, 126]], * Val accuracy / confusion: 57.31% / [[157, 58, 15], [68, 85, 22], [22, 37, 56]] ------------------------------ Epoch 1540 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414144 - Iter 024 / 025, Loss: 0.743150 * Train accuracy / confusion: 76.62% / [[298, 53, 3], [61, 184, 22], [19, 29, 131]], * Val accuracy / confusion: 57.88% / [[157, 54, 19], [63, 88, 24], [19, 40, 56]] ------------------------------ Epoch 1541 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.141881 - Iter 024 / 025, Loss: 0.561886 * Train accuracy / confusion: 75.75% / [[301, 42, 14], [66, 174, 28], [13, 31, 131]], * Val accuracy / confusion: 56.54% / [[156, 57, 17], [63, 85, 27], [19, 43, 53]] ------------------------------ Epoch 1542 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.763911 - Iter 024 / 025, Loss: 0.737739 * Train accuracy / confusion: 77.12% / [[299, 45, 11], [64, 183, 19], [15, 29, 135]], * Val accuracy / confusion: 60.19% / [[163, 49, 18], [61, 93, 21], [13, 45, 57]] ------------------------------ Epoch 1543 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.553075 - Iter 024 / 025, Loss: 0.320251 * Train accuracy / confusion: 75.62% / [[287, 57, 10], [62, 186, 26], [13, 27, 132]], * Val accuracy / confusion: 58.46% / [[157, 53, 20], [78, 87, 10], [20, 35, 60]] ------------------------------ Epoch 1544 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.473206 - Iter 024 / 025, Loss: 0.486330 * Train accuracy / confusion: 78.38% / [[305, 40, 9], [65, 183, 19], [13, 27, 139]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [57, 89, 29], [14, 45, 56]] ------------------------------ Epoch 1545 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.358046 - Iter 024 / 025, Loss: 0.453195 * Train accuracy / confusion: 75.88% / [[300, 44, 11], [64, 178, 24], [13, 37, 129]], * Val accuracy / confusion: 58.08% / [[160, 55, 15], [67, 83, 25], [14, 42, 59]] ------------------------------ Epoch 1546 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701505 - Iter 024 / 025, Loss: 0.424304 * Train accuracy / confusion: 78.88% / [[318, 34, 8], [61, 181, 20], [11, 35, 132]], * Val accuracy / confusion: 56.35% / [[151, 64, 15], [55, 90, 30], [16, 47, 52]] ------------------------------ Epoch 1547 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.522653 - Iter 024 / 025, Loss: 0.443454 * Train accuracy / confusion: 78.00% / [[303, 42, 13], [64, 188, 20], [12, 25, 133]], * Val accuracy / confusion: 58.85% / [[162, 56, 12], [65, 90, 20], [19, 42, 54]] ------------------------------ Epoch 1548 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.588047 - Iter 024 / 025, Loss: 0.378270 * Train accuracy / confusion: 78.88% / [[302, 47, 8], [57, 192, 18], [11, 28, 137]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [69, 77, 29], [19, 39, 57]] ------------------------------ Epoch 1549 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.910925 - Iter 024 / 025, Loss: 0.763195 * Train accuracy / confusion: 76.38% / [[298, 50, 7], [69, 180, 17], [7, 39, 133]], * Val accuracy / confusion: 56.92% / [[162, 56, 12], [66, 83, 26], [17, 47, 51]] ------------------------------ Epoch 1550 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.698740 - Iter 024 / 025, Loss: 0.433132 * Train accuracy / confusion: 76.25% / [[300, 56, 5], [64, 181, 21], [16, 28, 129]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [71, 85, 19], [18, 36, 61]] ------------------------------ Epoch 1551 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390029 - Iter 024 / 025, Loss: 0.589469 * Train accuracy / confusion: 77.00% / [[300, 40, 14], [68, 178, 27], [11, 24, 138]], * Val accuracy / confusion: 57.69% / [[164, 51, 15], [67, 85, 23], [20, 44, 51]] ------------------------------ Epoch 1552 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.622485 - Iter 024 / 025, Loss: 0.436973 * Train accuracy / confusion: 75.50% / [[285, 56, 10], [63, 186, 24], [15, 28, 133]], * Val accuracy / confusion: 58.85% / [[158, 55, 17], [65, 93, 17], [23, 37, 55]] ------------------------------ Epoch 1553 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.487519 - Iter 024 / 025, Loss: 0.469203 * Train accuracy / confusion: 75.12% / [[291, 55, 10], [72, 170, 21], [12, 29, 140]], * Val accuracy / confusion: 59.81% / [[166, 55, 9], [65, 91, 19], [14, 47, 54]] ------------------------------ Epoch 1554 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.601899 - Iter 024 / 025, Loss: 0.565898 * Train accuracy / confusion: 77.88% / [[303, 41, 13], [63, 178, 23], [7, 30, 142]], * Val accuracy / confusion: 58.85% / [[158, 53, 19], [62, 85, 28], [13, 39, 63]] ------------------------------ Epoch 1555 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461937 - Iter 024 / 025, Loss: 0.598924 * Train accuracy / confusion: 77.38% / [[296, 45, 16], [60, 192, 21], [7, 32, 131]], * Val accuracy / confusion: 57.88% / [[162, 47, 21], [63, 86, 26], [15, 47, 53]] ------------------------------ Epoch 1556 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.456064 - Iter 024 / 025, Loss: 0.406978 * Train accuracy / confusion: 78.00% / [[306, 48, 8], [49, 191, 24], [13, 34, 127]], * Val accuracy / confusion: 56.92% / [[156, 56, 18], [62, 89, 24], [17, 47, 51]] ------------------------------ Epoch 1557 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552783 - Iter 024 / 025, Loss: 0.784658 * Train accuracy / confusion: 75.12% / [[294, 45, 14], [61, 184, 24], [13, 42, 123]], * Val accuracy / confusion: 58.27% / [[154, 58, 18], [59, 94, 22], [15, 45, 55]] ------------------------------ Epoch 1558 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431059 - Iter 024 / 025, Loss: 0.662725 * Train accuracy / confusion: 76.25% / [[302, 44, 9], [64, 184, 19], [16, 38, 124]], * Val accuracy / confusion: 59.23% / [[168, 52, 10], [65, 90, 20], [20, 45, 50]] ------------------------------ Epoch 1559 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.629136 - Iter 024 / 025, Loss: 0.462584 * Train accuracy / confusion: 74.62% / [[306, 41, 11], [75, 170, 20], [18, 38, 121]], * Val accuracy / confusion: 54.42% / [[150, 60, 20], [65, 86, 24], [16, 52, 47]] ------------------------------ Epoch 1560 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503280 - Iter 024 / 025, Loss: 0.515539 * Train accuracy / confusion: 73.88% / [[295, 49, 12], [59, 177, 28], [18, 43, 119]], * Val accuracy / confusion: 57.50% / [[154, 60, 16], [62, 87, 26], [23, 34, 58]] ------------------------------ Epoch 1561 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.559627 - Iter 024 / 025, Loss: 0.370130 * Train accuracy / confusion: 78.50% / [[311, 39, 6], [61, 186, 23], [11, 32, 131]], * Val accuracy / confusion: 56.54% / [[154, 61, 15], [62, 85, 28], [22, 38, 55]] ------------------------------ Epoch 1562 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.538278 - Iter 024 / 025, Loss: 0.598442 * Train accuracy / confusion: 74.50% / [[300, 49, 10], [67, 164, 38], [11, 29, 132]], * Val accuracy / confusion: 58.27% / [[153, 57, 20], [58, 93, 24], [16, 42, 57]] ------------------------------ Epoch 1563 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.582140 - Iter 024 / 025, Loss: 0.547190 * Train accuracy / confusion: 76.25% / [[291, 53, 14], [65, 181, 24], [11, 23, 138]], * Val accuracy / confusion: 55.38% / [[157, 53, 20], [65, 85, 25], [18, 51, 46]] ------------------------------ Epoch 1564 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568039 - Iter 024 / 025, Loss: 0.698696 * Train accuracy / confusion: 76.88% / [[297, 49, 11], [63, 184, 22], [8, 32, 134]], * Val accuracy / confusion: 57.31% / [[158, 59, 13], [56, 89, 30], [19, 45, 51]] ------------------------------ Epoch 1565 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453493 - Iter 024 / 025, Loss: 0.621192 * Train accuracy / confusion: 76.12% / [[302, 48, 7], [68, 171, 27], [9, 32, 136]], * Val accuracy / confusion: 58.08% / [[157, 60, 13], [58, 93, 24], [15, 48, 52]] ------------------------------ Epoch 1566 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627028 - Iter 024 / 025, Loss: 0.445089 * Train accuracy / confusion: 74.62% / [[304, 47, 8], [65, 170, 32], [11, 40, 123]], * Val accuracy / confusion: 58.85% / [[160, 55, 15], [65, 88, 22], [20, 37, 58]] ------------------------------ Epoch 1567 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.533716 - Iter 024 / 025, Loss: 0.425014 * Train accuracy / confusion: 77.88% / [[301, 49, 8], [59, 185, 24], [8, 29, 137]], * Val accuracy / confusion: 54.81% / [[149, 61, 20], [62, 84, 29], [20, 43, 52]] ------------------------------ Epoch 1568 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543810 - Iter 024 / 025, Loss: 0.573155 * Train accuracy / confusion: 78.25% / [[305, 45, 10], [52, 193, 20], [14, 33, 128]], * Val accuracy / confusion: 57.88% / [[156, 56, 18], [67, 86, 22], [18, 38, 59]] ------------------------------ Epoch 1569 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.602636 - Iter 024 / 025, Loss: 0.590512 * Train accuracy / confusion: 79.00% / [[306, 42, 8], [60, 188, 18], [15, 25, 138]], * Val accuracy / confusion: 57.50% / [[150, 60, 20], [63, 91, 21], [14, 43, 58]] ------------------------------ Epoch 1570 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.584184 - Iter 024 / 025, Loss: 0.577180 * Train accuracy / confusion: 75.62% / [[296, 56, 8], [63, 176, 24], [17, 27, 133]], * Val accuracy / confusion: 57.69% / [[143, 67, 20], [55, 97, 23], [19, 36, 60]] ------------------------------ Epoch 1571 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.334618 - Iter 024 / 025, Loss: 0.643643 * Train accuracy / confusion: 76.12% / [[304, 36, 13], [65, 177, 27], [16, 34, 128]], * Val accuracy / confusion: 55.00% / [[154, 58, 18], [66, 78, 31], [15, 46, 54]] ------------------------------ Epoch 1572 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413196 - Iter 024 / 025, Loss: 0.466324 * Train accuracy / confusion: 78.12% / [[305, 41, 6], [55, 193, 24], [18, 31, 127]], * Val accuracy / confusion: 56.73% / [[160, 57, 13], [64, 80, 31], [18, 42, 55]] ------------------------------ Epoch 1573 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.407396 - Iter 024 / 025, Loss: 0.559748 * Train accuracy / confusion: 76.75% / [[301, 44, 14], [62, 182, 22], [10, 34, 131]], * Val accuracy / confusion: 57.31% / [[155, 55, 20], [63, 91, 21], [24, 39, 52]] ------------------------------ Epoch 1574 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.467173 - Iter 024 / 025, Loss: 0.608610 * Train accuracy / confusion: 74.00% / [[286, 59, 9], [64, 180, 23], [16, 37, 126]], * Val accuracy / confusion: 55.00% / [[146, 70, 14], [64, 89, 22], [15, 49, 51]] ------------------------------ Epoch 1575 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461517 - Iter 024 / 025, Loss: 0.625993 * Train accuracy / confusion: 77.75% / [[299, 45, 11], [68, 178, 23], [6, 25, 145]], * Val accuracy / confusion: 57.31% / [[159, 59, 12], [62, 81, 32], [17, 40, 58]] ------------------------------ Epoch 1576 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438803 - Iter 024 / 025, Loss: 0.428192 * Train accuracy / confusion: 73.88% / [[294, 45, 17], [74, 173, 19], [19, 35, 124]], * Val accuracy / confusion: 57.50% / [[158, 62, 10], [59, 89, 27], [16, 47, 52]] ------------------------------ Epoch 1577 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498439 - Iter 024 / 025, Loss: 0.445646 * Train accuracy / confusion: 79.00% / [[311, 34, 14], [59, 188, 20], [14, 27, 133]], * Val accuracy / confusion: 58.08% / [[156, 57, 17], [63, 91, 21], [13, 47, 55]] ------------------------------ Epoch 1578 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.560635 - Iter 024 / 025, Loss: 0.530674 * Train accuracy / confusion: 76.88% / [[307, 40, 14], [52, 176, 33], [16, 30, 132]], * Val accuracy / confusion: 57.88% / [[154, 55, 21], [59, 92, 24], [19, 41, 55]] ------------------------------ Epoch 1579 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.651059 - Iter 024 / 025, Loss: 0.441529 * Train accuracy / confusion: 78.50% / [[296, 49, 7], [49, 196, 23], [14, 30, 136]], * Val accuracy / confusion: 59.23% / [[165, 54, 11], [61, 91, 23], [21, 42, 52]] ------------------------------ Epoch 1580 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419345 - Iter 024 / 025, Loss: 0.363667 * Train accuracy / confusion: 76.50% / [[290, 49, 12], [73, 180, 17], [8, 29, 142]], * Val accuracy / confusion: 56.73% / [[160, 58, 12], [72, 86, 17], [22, 44, 49]] ------------------------------ Epoch 1581 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590144 - Iter 024 / 025, Loss: 0.785878 * Train accuracy / confusion: 75.75% / [[303, 42, 7], [77, 166, 27], [18, 23, 137]], * Val accuracy / confusion: 58.08% / [[154, 59, 17], [71, 87, 17], [14, 40, 61]] ------------------------------ Epoch 1582 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579661 - Iter 024 / 025, Loss: 0.629912 * Train accuracy / confusion: 78.75% / [[300, 46, 13], [52, 194, 21], [13, 25, 136]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [60, 87, 28], [15, 45, 55]] ------------------------------ Epoch 1583 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.859819 - Iter 024 / 025, Loss: 0.489865 * Train accuracy / confusion: 77.75% / [[303, 50, 5], [60, 184, 23], [13, 27, 135]], * Val accuracy / confusion: 56.54% / [[157, 61, 12], [65, 83, 27], [24, 37, 54]] ------------------------------ Epoch 1584 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.364331 - Iter 024 / 025, Loss: 0.719345 * Train accuracy / confusion: 76.62% / [[299, 47, 11], [71, 179, 18], [12, 28, 135]], * Val accuracy / confusion: 59.42% / [[160, 59, 11], [66, 91, 18], [18, 39, 58]] ------------------------------ Epoch 1585 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419252 - Iter 024 / 025, Loss: 0.596649 * Train accuracy / confusion: 75.62% / [[302, 48, 6], [59, 178, 30], [11, 41, 125]], * Val accuracy / confusion: 59.23% / [[167, 46, 17], [67, 89, 19], [14, 49, 52]] ------------------------------ Epoch 1586 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.618792 - Iter 024 / 025, Loss: 0.556183 * Train accuracy / confusion: 76.75% / [[294, 46, 11], [60, 189, 23], [13, 33, 131]], * Val accuracy / confusion: 55.77% / [[156, 58, 16], [58, 86, 31], [20, 47, 48]] ------------------------------ Epoch 1587 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.020942 - Iter 024 / 025, Loss: 0.500143 * Train accuracy / confusion: 76.12% / [[294, 56, 9], [61, 178, 25], [11, 29, 137]], * Val accuracy / confusion: 56.15% / [[160, 54, 16], [62, 86, 27], [21, 48, 46]] ------------------------------ Epoch 1588 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.468031 - Iter 024 / 025, Loss: 0.349725 * Train accuracy / confusion: 75.50% / [[303, 43, 14], [69, 182, 18], [11, 41, 119]], * Val accuracy / confusion: 60.96% / [[162, 52, 16], [56, 92, 27], [14, 38, 63]] ------------------------------ Epoch 1589 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612685 - Iter 024 / 025, Loss: 0.498971 * Train accuracy / confusion: 76.38% / [[300, 47, 9], [64, 179, 24], [10, 35, 132]], * Val accuracy / confusion: 60.00% / [[162, 53, 15], [69, 89, 17], [16, 38, 61]] ------------------------------ Epoch 1590 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484190 - Iter 024 / 025, Loss: 0.487898 * Train accuracy / confusion: 76.50% / [[296, 52, 8], [70, 175, 22], [11, 25, 141]], * Val accuracy / confusion: 58.85% / [[149, 62, 19], [60, 93, 22], [15, 36, 64]] ------------------------------ Epoch 1591 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579639 - Iter 024 / 025, Loss: 0.767124 * Train accuracy / confusion: 76.75% / [[297, 48, 9], [63, 187, 20], [14, 32, 130]], * Val accuracy / confusion: 59.62% / [[167, 48, 15], [67, 88, 20], [22, 38, 55]] ------------------------------ Epoch 1592 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471573 - Iter 024 / 025, Loss: 0.546554 * Train accuracy / confusion: 76.38% / [[291, 52, 10], [65, 182, 21], [11, 30, 138]], * Val accuracy / confusion: 58.08% / [[159, 61, 10], [71, 85, 19], [20, 37, 58]] ------------------------------ Epoch 1593 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515162 - Iter 024 / 025, Loss: 0.497929 * Train accuracy / confusion: 77.88% / [[298, 50, 10], [50, 197, 19], [6, 42, 128]], * Val accuracy / confusion: 57.69% / [[151, 59, 20], [59, 97, 19], [20, 43, 52]] ------------------------------ Epoch 1594 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.628337 - Iter 024 / 025, Loss: 0.493420 * Train accuracy / confusion: 76.50% / [[302, 45, 11], [54, 184, 31], [18, 29, 126]], * Val accuracy / confusion: 58.65% / [[152, 57, 21], [57, 96, 22], [23, 35, 57]] ------------------------------ Epoch 1595 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.690531 - Iter 024 / 025, Loss: 0.627733 * Train accuracy / confusion: 74.50% / [[299, 50, 7], [71, 170, 25], [9, 42, 127]], * Val accuracy / confusion: 56.54% / [[160, 59, 11], [64, 83, 28], [22, 42, 51]] ------------------------------ Epoch 1596 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594654 - Iter 024 / 025, Loss: 0.415459 * Train accuracy / confusion: 76.88% / [[306, 46, 5], [67, 177, 23], [13, 31, 132]], * Val accuracy / confusion: 56.15% / [[155, 57, 18], [66, 82, 27], [22, 38, 55]] ------------------------------ Epoch 1597 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635461 - Iter 024 / 025, Loss: 0.624371 * Train accuracy / confusion: 77.38% / [[299, 49, 8], [62, 181, 26], [11, 25, 139]], * Val accuracy / confusion: 57.88% / [[155, 59, 16], [58, 91, 26], [16, 44, 55]] ------------------------------ Epoch 1598 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.445549 - Iter 024 / 025, Loss: 0.647524 * Train accuracy / confusion: 77.00% / [[300, 50, 6], [55, 181, 30], [14, 29, 135]], * Val accuracy / confusion: 57.50% / [[161, 55, 14], [67, 88, 20], [20, 45, 50]] ------------------------------ Epoch 1599 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561141 - Iter 024 / 025, Loss: 0.888344 * Train accuracy / confusion: 77.38% / [[305, 43, 12], [63, 185, 16], [18, 29, 129]], * Val accuracy / confusion: 56.35% / [[159, 54, 17], [66, 81, 28], [16, 46, 53]] ------------------------------ Epoch 1600 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.465049 - Iter 024 / 025, Loss: 0.578097 * Train accuracy / confusion: 76.25% / [[292, 61, 8], [51, 185, 28], [9, 33, 133]], * Val accuracy / confusion: 58.46% / [[156, 67, 7], [58, 101, 16], [18, 50, 47]] ------------------------------ Epoch 1601 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.488173 - Iter 024 / 025, Loss: 0.496203 * Train accuracy / confusion: 75.88% / [[299, 44, 12], [65, 182, 19], [16, 37, 126]], * Val accuracy / confusion: 56.73% / [[160, 60, 10], [63, 85, 27], [24, 41, 50]] ------------------------------ Epoch 1602 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.480521 - Iter 024 / 025, Loss: 0.458321 * Train accuracy / confusion: 76.88% / [[306, 41, 8], [69, 177, 25], [11, 31, 132]], * Val accuracy / confusion: 56.15% / [[158, 57, 15], [68, 82, 25], [15, 48, 52]] ------------------------------ Epoch 1603 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482420 - Iter 024 / 025, Loss: 0.484166 * Train accuracy / confusion: 76.75% / [[306, 42, 5], [56, 184, 30], [16, 37, 124]], * Val accuracy / confusion: 57.88% / [[156, 58, 16], [63, 92, 20], [13, 49, 53]] ------------------------------ Epoch 1604 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.527037 - Iter 024 / 025, Loss: 0.581942 * Train accuracy / confusion: 76.75% / [[296, 41, 12], [73, 178, 21], [12, 27, 140]], * Val accuracy / confusion: 55.00% / [[160, 56, 14], [70, 80, 25], [19, 50, 46]] ------------------------------ Epoch 1605 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.455723 - Iter 024 / 025, Loss: 0.505249 * Train accuracy / confusion: 76.25% / [[291, 54, 9], [65, 179, 24], [10, 28, 140]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [63, 84, 28], [17, 43, 55]] ------------------------------ Epoch 1606 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.547715 - Iter 024 / 025, Loss: 0.683649 * Train accuracy / confusion: 76.38% / [[301, 40, 16], [56, 186, 22], [15, 40, 124]], * Val accuracy / confusion: 58.65% / [[157, 58, 15], [66, 90, 19], [19, 38, 58]] ------------------------------ Epoch 1607 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.593170 - Iter 024 / 025, Loss: 0.609885 * Train accuracy / confusion: 76.88% / [[294, 47, 12], [68, 178, 23], [8, 27, 143]], * Val accuracy / confusion: 56.92% / [[163, 53, 14], [63, 86, 26], [19, 49, 47]] ------------------------------ Epoch 1608 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502924 - Iter 024 / 025, Loss: 0.643685 * Train accuracy / confusion: 75.38% / [[298, 47, 11], [63, 178, 27], [17, 32, 127]], * Val accuracy / confusion: 59.62% / [[164, 50, 16], [66, 84, 25], [18, 35, 62]] ------------------------------ Epoch 1609 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461246 - Iter 024 / 025, Loss: 0.836033 * Train accuracy / confusion: 77.75% / [[306, 40, 11], [59, 188, 22], [14, 32, 128]], * Val accuracy / confusion: 56.35% / [[148, 62, 20], [55, 90, 30], [15, 45, 55]] ------------------------------ Epoch 1610 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.699666 - Iter 024 / 025, Loss: 0.509944 * Train accuracy / confusion: 74.00% / [[292, 49, 15], [74, 170, 26], [9, 35, 130]], * Val accuracy / confusion: 56.92% / [[153, 65, 12], [52, 96, 27], [15, 53, 47]] ------------------------------ Epoch 1611 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.540249 - Iter 024 / 025, Loss: 0.425972 * Train accuracy / confusion: 75.62% / [[288, 60, 7], [66, 184, 17], [13, 32, 133]], * Val accuracy / confusion: 56.92% / [[162, 51, 17], [72, 78, 25], [21, 38, 56]] ------------------------------ Epoch 1612 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418398 - Iter 024 / 025, Loss: 0.680597 * Train accuracy / confusion: 79.50% / [[305, 44, 8], [58, 192, 16], [8, 30, 139]], * Val accuracy / confusion: 55.58% / [[157, 58, 15], [66, 84, 25], [15, 52, 48]] ------------------------------ Epoch 1613 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587286 - Iter 024 / 025, Loss: 0.603553 * Train accuracy / confusion: 74.12% / [[294, 46, 12], [69, 173, 27], [15, 38, 126]], * Val accuracy / confusion: 57.69% / [[150, 63, 17], [56, 98, 21], [16, 47, 52]] ------------------------------ Epoch 1614 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607830 - Iter 024 / 025, Loss: 0.446164 * Train accuracy / confusion: 75.50% / [[287, 57, 12], [61, 183, 25], [13, 28, 134]], * Val accuracy / confusion: 57.88% / [[156, 56, 18], [58, 85, 32], [13, 42, 60]] ------------------------------ Epoch 1615 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.600238 - Iter 024 / 025, Loss: 0.468829 * Train accuracy / confusion: 77.62% / [[299, 46, 9], [63, 186, 19], [15, 27, 136]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [68, 80, 27], [13, 41, 61]] ------------------------------ Epoch 1616 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543319 - Iter 024 / 025, Loss: 0.571677 * Train accuracy / confusion: 78.50% / [[302, 46, 9], [62, 181, 21], [10, 24, 145]], * Val accuracy / confusion: 57.50% / [[159, 55, 16], [64, 84, 27], [14, 45, 56]] ------------------------------ Epoch 1617 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.354905 - Iter 024 / 025, Loss: 0.450858 * Train accuracy / confusion: 76.88% / [[300, 45, 13], [59, 187, 21], [9, 38, 128]], * Val accuracy / confusion: 57.50% / [[156, 59, 15], [62, 88, 25], [19, 41, 55]] ------------------------------ Epoch 1618 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572424 - Iter 024 / 025, Loss: 0.571761 * Train accuracy / confusion: 78.12% / [[307, 40, 11], [67, 185, 18], [13, 26, 133]], * Val accuracy / confusion: 53.46% / [[146, 65, 19], [66, 85, 24], [15, 53, 47]] ------------------------------ Epoch 1619 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594888 - Iter 024 / 025, Loss: 0.429887 * Train accuracy / confusion: 76.75% / [[302, 47, 9], [61, 183, 22], [14, 33, 129]], * Val accuracy / confusion: 57.69% / [[148, 67, 15], [55, 95, 25], [18, 40, 57]] ------------------------------ Epoch 1620 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596734 - Iter 024 / 025, Loss: 0.518195 * Train accuracy / confusion: 75.62% / [[294, 51, 10], [62, 176, 29], [10, 33, 135]], * Val accuracy / confusion: 55.96% / [[155, 59, 16], [66, 84, 25], [18, 45, 52]] ------------------------------ Epoch 1621 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390790 - Iter 024 / 025, Loss: 0.674453 * Train accuracy / confusion: 76.88% / [[300, 44, 12], [68, 181, 17], [7, 37, 134]], * Val accuracy / confusion: 58.46% / [[156, 59, 15], [57, 95, 23], [19, 43, 53]] ------------------------------ Epoch 1622 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.554938 - Iter 024 / 025, Loss: 0.441768 * Train accuracy / confusion: 76.00% / [[296, 45, 13], [58, 183, 29], [8, 39, 129]], * Val accuracy / confusion: 60.38% / [[156, 55, 19], [55, 101, 19], [16, 42, 57]] ------------------------------ Epoch 1623 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497651 - Iter 024 / 025, Loss: 0.585111 * Train accuracy / confusion: 77.12% / [[298, 47, 10], [64, 182, 23], [11, 28, 137]], * Val accuracy / confusion: 62.88% / [[168, 46, 16], [54, 95, 26], [20, 31, 64]] ------------------------------ Epoch 1624 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672229 - Iter 024 / 025, Loss: 0.592143 * Train accuracy / confusion: 74.75% / [[294, 52, 10], [64, 170, 31], [10, 35, 134]], * Val accuracy / confusion: 57.88% / [[153, 61, 16], [64, 91, 20], [17, 41, 57]] ------------------------------ Epoch 1625 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701227 - Iter 024 / 025, Loss: 0.613433 * Train accuracy / confusion: 77.50% / [[302, 49, 7], [55, 187, 25], [11, 33, 131]], * Val accuracy / confusion: 58.65% / [[159, 55, 16], [61, 90, 24], [13, 46, 56]] ------------------------------ Epoch 1626 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.593256 - Iter 024 / 025, Loss: 0.499009 * Train accuracy / confusion: 74.62% / [[283, 56, 14], [69, 182, 21], [11, 32, 132]], * Val accuracy / confusion: 57.12% / [[164, 47, 19], [69, 82, 24], [21, 43, 51]] ------------------------------ Epoch 1627 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.665947 - Iter 024 / 025, Loss: 0.494673 * Train accuracy / confusion: 77.12% / [[298, 45, 15], [63, 176, 21], [15, 24, 143]], * Val accuracy / confusion: 59.23% / [[168, 49, 13], [59, 92, 24], [15, 52, 48]] ------------------------------ Epoch 1628 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.457970 - Iter 024 / 025, Loss: 0.670666 * Train accuracy / confusion: 76.25% / [[292, 44, 17], [60, 186, 25], [11, 33, 132]], * Val accuracy / confusion: 58.65% / [[161, 56, 13], [57, 91, 27], [14, 48, 53]] ------------------------------ Epoch 1629 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.753910 - Iter 024 / 025, Loss: 0.419501 * Train accuracy / confusion: 78.00% / [[304, 39, 11], [67, 185, 18], [11, 30, 135]], * Val accuracy / confusion: 56.15% / [[158, 59, 13], [71, 84, 20], [17, 48, 50]] ------------------------------ Epoch 1630 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.747436 - Iter 024 / 025, Loss: 0.520791 * Train accuracy / confusion: 76.75% / [[301, 45, 8], [73, 176, 18], [16, 26, 137]], * Val accuracy / confusion: 58.08% / [[161, 55, 14], [59, 94, 22], [18, 50, 47]] ------------------------------ Epoch 1631 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.698134 - Iter 024 / 025, Loss: 0.759904 * Train accuracy / confusion: 77.75% / [[307, 41, 10], [60, 187, 21], [13, 33, 128]], * Val accuracy / confusion: 58.85% / [[153, 51, 26], [60, 95, 20], [15, 42, 58]] ------------------------------ Epoch 1632 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.679198 - Iter 024 / 025, Loss: 0.699239 * Train accuracy / confusion: 73.75% / [[291, 53, 11], [70, 175, 23], [13, 40, 124]], * Val accuracy / confusion: 55.19% / [[146, 63, 21], [53, 89, 33], [21, 42, 52]] ------------------------------ Epoch 1633 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.525410 - Iter 024 / 025, Loss: 0.530641 * Train accuracy / confusion: 78.50% / [[311, 41, 6], [62, 185, 20], [13, 30, 132]], * Val accuracy / confusion: 57.12% / [[153, 61, 16], [61, 92, 22], [19, 44, 52]] ------------------------------ Epoch 1634 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.711253 - Iter 024 / 025, Loss: 0.319051 * Train accuracy / confusion: 75.25% / [[300, 43, 10], [69, 177, 23], [14, 39, 125]], * Val accuracy / confusion: 60.58% / [[165, 48, 17], [56, 96, 23], [18, 43, 54]] ------------------------------ Epoch 1635 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369182 - Iter 024 / 025, Loss: 0.550547 * Train accuracy / confusion: 75.50% / [[289, 50, 14], [59, 180, 29], [9, 35, 135]], * Val accuracy / confusion: 56.15% / [[156, 54, 20], [65, 80, 30], [12, 47, 56]] ------------------------------ Epoch 1636 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506403 - Iter 024 / 025, Loss: 0.465875 * Train accuracy / confusion: 77.25% / [[298, 51, 6], [57, 184, 26], [9, 33, 136]], * Val accuracy / confusion: 56.73% / [[157, 55, 18], [64, 86, 25], [15, 48, 52]] ------------------------------ Epoch 1637 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413655 - Iter 024 / 025, Loss: 0.401044 * Train accuracy / confusion: 76.25% / [[299, 51, 7], [61, 180, 26], [11, 34, 131]], * Val accuracy / confusion: 55.96% / [[158, 54, 18], [67, 86, 22], [17, 51, 47]] ------------------------------ Epoch 1638 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.409877 - Iter 024 / 025, Loss: 0.478113 * Train accuracy / confusion: 78.38% / [[303, 42, 9], [59, 185, 24], [8, 31, 139]], * Val accuracy / confusion: 59.04% / [[163, 48, 19], [61, 90, 24], [21, 40, 54]] ------------------------------ Epoch 1639 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613116 - Iter 024 / 025, Loss: 0.653264 * Train accuracy / confusion: 73.50% / [[286, 57, 11], [70, 171, 29], [11, 34, 131]], * Val accuracy / confusion: 55.96% / [[152, 60, 18], [73, 78, 24], [21, 33, 61]] ------------------------------ Epoch 1640 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689924 - Iter 024 / 025, Loss: 0.568749 * Train accuracy / confusion: 77.12% / [[300, 48, 9], [60, 190, 20], [15, 31, 127]], * Val accuracy / confusion: 61.15% / [[162, 57, 11], [56, 98, 21], [14, 43, 58]] ------------------------------ Epoch 1641 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507330 - Iter 024 / 025, Loss: 0.640300 * Train accuracy / confusion: 75.00% / [[297, 47, 11], [60, 176, 31], [14, 37, 127]], * Val accuracy / confusion: 59.62% / [[163, 46, 21], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 1642 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509324 - Iter 024 / 025, Loss: 0.298157 * Train accuracy / confusion: 77.62% / [[303, 46, 7], [61, 182, 23], [9, 33, 136]], * Val accuracy / confusion: 58.08% / [[161, 48, 21], [58, 87, 30], [18, 43, 54]] ------------------------------ Epoch 1643 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507484 - Iter 024 / 025, Loss: 0.603275 * Train accuracy / confusion: 77.12% / [[292, 52, 12], [59, 187, 23], [12, 25, 138]], * Val accuracy / confusion: 59.23% / [[162, 52, 16], [59, 95, 21], [19, 45, 51]] ------------------------------ Epoch 1644 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471217 - Iter 024 / 025, Loss: 0.427682 * Train accuracy / confusion: 75.62% / [[295, 49, 11], [62, 179, 28], [18, 27, 131]], * Val accuracy / confusion: 57.31% / [[154, 50, 26], [57, 88, 30], [14, 45, 56]] ------------------------------ Epoch 1645 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541935 - Iter 024 / 025, Loss: 0.587019 * Train accuracy / confusion: 76.88% / [[291, 50, 11], [60, 191, 19], [18, 27, 133]], * Val accuracy / confusion: 55.00% / [[147, 67, 16], [62, 91, 22], [20, 47, 48]] ------------------------------ Epoch 1646 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.399838 - Iter 024 / 025, Loss: 0.582356 * Train accuracy / confusion: 73.25% / [[291, 58, 8], [72, 167, 28], [13, 35, 128]], * Val accuracy / confusion: 58.65% / [[157, 59, 14], [55, 96, 24], [17, 46, 52]] ------------------------------ Epoch 1647 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568919 - Iter 024 / 025, Loss: 0.696650 * Train accuracy / confusion: 77.50% / [[293, 42, 14], [58, 197, 17], [13, 36, 130]], * Val accuracy / confusion: 60.38% / [[165, 54, 11], [57, 101, 17], [21, 46, 48]] ------------------------------ Epoch 1648 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.632957 - Iter 024 / 025, Loss: 0.684823 * Train accuracy / confusion: 76.25% / [[299, 46, 8], [58, 181, 29], [11, 38, 130]], * Val accuracy / confusion: 57.50% / [[161, 51, 18], [68, 86, 21], [17, 46, 52]] ------------------------------ Epoch 1649 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606334 - Iter 024 / 025, Loss: 0.550955 * Train accuracy / confusion: 76.88% / [[305, 46, 8], [63, 182, 19], [14, 35, 128]], * Val accuracy / confusion: 57.69% / [[146, 70, 14], [61, 94, 20], [16, 39, 60]] ------------------------------ Epoch 1650 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498696 - Iter 024 / 025, Loss: 0.479957 * Train accuracy / confusion: 76.62% / [[297, 44, 11], [64, 192, 16], [16, 36, 124]], * Val accuracy / confusion: 58.27% / [[152, 60, 18], [54, 95, 26], [18, 41, 56]] ------------------------------ Epoch 1651 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.446763 - Iter 024 / 025, Loss: 0.722567 * Train accuracy / confusion: 77.75% / [[293, 51, 9], [61, 186, 20], [13, 24, 143]], * Val accuracy / confusion: 59.42% / [[158, 55, 17], [59, 98, 18], [14, 48, 53]] ------------------------------ Epoch 1652 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.570490 - Iter 024 / 025, Loss: 0.405855 * Train accuracy / confusion: 74.12% / [[279, 58, 15], [65, 183, 23], [6, 40, 131]], * Val accuracy / confusion: 58.08% / [[154, 65, 11], [56, 92, 27], [11, 48, 56]] ------------------------------ Epoch 1653 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.382249 - Iter 024 / 025, Loss: 0.531176 * Train accuracy / confusion: 75.88% / [[296, 43, 16], [65, 181, 25], [10, 34, 130]], * Val accuracy / confusion: 57.50% / [[147, 68, 15], [56, 99, 20], [20, 42, 53]] ------------------------------ Epoch 1654 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.536742 - Iter 024 / 025, Loss: 0.451376 * Train accuracy / confusion: 77.88% / [[301, 39, 13], [59, 185, 25], [8, 33, 137]], * Val accuracy / confusion: 58.08% / [[158, 52, 20], [64, 88, 23], [18, 41, 56]] ------------------------------ Epoch 1655 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412678 - Iter 024 / 025, Loss: 0.447733 * Train accuracy / confusion: 76.00% / [[280, 61, 11], [61, 195, 15], [17, 27, 133]], * Val accuracy / confusion: 54.23% / [[145, 66, 19], [64, 85, 26], [20, 43, 52]] ------------------------------ Epoch 1656 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.599553 - Iter 024 / 025, Loss: 0.765592 * Train accuracy / confusion: 75.25% / [[288, 50, 16], [67, 183, 18], [11, 36, 131]], * Val accuracy / confusion: 59.81% / [[166, 53, 11], [56, 91, 28], [17, 44, 54]] ------------------------------ Epoch 1657 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572600 - Iter 024 / 025, Loss: 0.596231 * Train accuracy / confusion: 74.62% / [[297, 46, 10], [71, 174, 24], [9, 43, 126]], * Val accuracy / confusion: 60.77% / [[153, 57, 20], [50, 101, 24], [13, 40, 62]] ------------------------------ Epoch 1658 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608869 - Iter 024 / 025, Loss: 0.657183 * Train accuracy / confusion: 76.50% / [[301, 45, 10], [59, 183, 28], [10, 36, 128]], * Val accuracy / confusion: 56.15% / [[144, 65, 21], [61, 91, 23], [16, 42, 57]] ------------------------------ Epoch 1659 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509455 - Iter 024 / 025, Loss: 0.557660 * Train accuracy / confusion: 78.50% / [[303, 44, 7], [52, 192, 22], [16, 31, 133]], * Val accuracy / confusion: 57.12% / [[159, 52, 19], [66, 77, 32], [12, 42, 61]] ------------------------------ Epoch 1660 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519509 - Iter 024 / 025, Loss: 0.586939 * Train accuracy / confusion: 75.38% / [[290, 53, 10], [68, 185, 17], [15, 34, 128]], * Val accuracy / confusion: 57.69% / [[150, 59, 21], [57, 87, 31], [18, 34, 63]] ------------------------------ Epoch 1661 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.478237 - Iter 024 / 025, Loss: 0.486170 * Train accuracy / confusion: 76.75% / [[296, 50, 11], [58, 185, 22], [10, 35, 133]], * Val accuracy / confusion: 57.69% / [[156, 59, 15], [58, 91, 26], [15, 47, 53]] ------------------------------ Epoch 1662 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.673715 - Iter 024 / 025, Loss: 0.411861 * Train accuracy / confusion: 78.62% / [[301, 50, 10], [60, 185, 21], [10, 20, 143]], * Val accuracy / confusion: 57.50% / [[156, 58, 16], [57, 94, 24], [14, 52, 49]] ------------------------------ Epoch 1663 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596466 - Iter 024 / 025, Loss: 0.564667 * Train accuracy / confusion: 76.38% / [[300, 46, 10], [69, 178, 24], [11, 29, 133]], * Val accuracy / confusion: 58.65% / [[162, 58, 10], [65, 88, 22], [20, 40, 55]] ------------------------------ Epoch 1664 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.535084 - Iter 024 / 025, Loss: 0.449013 * Train accuracy / confusion: 75.38% / [[303, 38, 12], [69, 176, 26], [10, 42, 124]], * Val accuracy / confusion: 55.96% / [[153, 66, 11], [57, 87, 31], [14, 50, 51]] ------------------------------ Epoch 1665 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634548 - Iter 024 / 025, Loss: 0.553198 * Train accuracy / confusion: 79.12% / [[305, 37, 17], [53, 195, 19], [10, 31, 133]], * Val accuracy / confusion: 56.54% / [[155, 61, 14], [62, 87, 26], [21, 42, 52]] ------------------------------ Epoch 1666 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.556109 - Iter 024 / 025, Loss: 0.633850 * Train accuracy / confusion: 76.12% / [[300, 49, 11], [55, 186, 23], [15, 38, 123]], * Val accuracy / confusion: 55.58% / [[151, 62, 17], [59, 88, 28], [20, 45, 50]] ------------------------------ Epoch 1667 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613880 - Iter 024 / 025, Loss: 0.482212 * Train accuracy / confusion: 74.50% / [[290, 58, 12], [70, 167, 24], [12, 28, 139]], * Val accuracy / confusion: 56.92% / [[163, 55, 12], [66, 78, 31], [18, 42, 55]] ------------------------------ Epoch 1668 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528134 - Iter 024 / 025, Loss: 0.605762 * Train accuracy / confusion: 77.75% / [[293, 45, 14], [60, 195, 17], [12, 30, 134]], * Val accuracy / confusion: 56.15% / [[151, 58, 21], [58, 93, 24], [14, 53, 48]] ------------------------------ Epoch 1669 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.670905 - Iter 024 / 025, Loss: 0.442466 * Train accuracy / confusion: 76.62% / [[296, 53, 4], [63, 184, 21], [13, 33, 133]], * Val accuracy / confusion: 58.46% / [[157, 58, 15], [62, 90, 23], [20, 38, 57]] ------------------------------ Epoch 1670 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502412 - Iter 024 / 025, Loss: 0.458638 * Train accuracy / confusion: 76.62% / [[296, 46, 7], [62, 184, 27], [16, 29, 133]], * Val accuracy / confusion: 58.65% / [[151, 64, 15], [62, 93, 20], [17, 37, 61]] ------------------------------ Epoch 1671 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.474375 - Iter 024 / 025, Loss: 0.530074 * Train accuracy / confusion: 78.75% / [[298, 49, 10], [57, 191, 19], [8, 27, 141]], * Val accuracy / confusion: 56.15% / [[147, 66, 17], [60, 86, 29], [17, 39, 59]] ------------------------------ Epoch 1672 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.394092 - Iter 024 / 025, Loss: 0.624703 * Train accuracy / confusion: 76.75% / [[300, 39, 15], [55, 182, 29], [13, 35, 132]], * Val accuracy / confusion: 57.12% / [[152, 56, 22], [60, 89, 26], [16, 43, 56]] ------------------------------ Epoch 1673 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689629 - Iter 024 / 025, Loss: 0.628392 * Train accuracy / confusion: 76.75% / [[295, 52, 11], [64, 183, 20], [10, 29, 136]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [64, 85, 26], [17, 43, 55]] ------------------------------ Epoch 1674 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511467 - Iter 024 / 025, Loss: 0.734427 * Train accuracy / confusion: 76.38% / [[303, 44, 7], [63, 176, 31], [16, 28, 132]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [59, 85, 31], [19, 42, 54]] ------------------------------ Epoch 1675 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458477 - Iter 024 / 025, Loss: 0.689513 * Train accuracy / confusion: 74.12% / [[291, 52, 16], [63, 174, 26], [15, 35, 128]], * Val accuracy / confusion: 58.08% / [[154, 58, 18], [70, 87, 18], [18, 36, 61]] ------------------------------ Epoch 1676 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.551230 - Iter 024 / 025, Loss: 0.753063 * Train accuracy / confusion: 78.00% / [[305, 44, 9], [49, 192, 25], [19, 30, 127]], * Val accuracy / confusion: 57.88% / [[162, 57, 11], [71, 76, 28], [14, 38, 63]] ------------------------------ Epoch 1677 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542325 - Iter 024 / 025, Loss: 0.463663 * Train accuracy / confusion: 76.88% / [[296, 49, 13], [58, 190, 17], [17, 31, 129]], * Val accuracy / confusion: 57.50% / [[163, 54, 13], [73, 81, 21], [18, 42, 55]] ------------------------------ Epoch 1678 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484490 - Iter 024 / 025, Loss: 0.672244 * Train accuracy / confusion: 76.38% / [[305, 46, 6], [66, 172, 28], [16, 27, 134]], * Val accuracy / confusion: 54.42% / [[146, 66, 18], [63, 82, 30], [13, 47, 55]] ------------------------------ Epoch 1679 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.454411 - Iter 024 / 025, Loss: 0.434327 * Train accuracy / confusion: 77.50% / [[298, 49, 11], [58, 189, 22], [13, 27, 133]], * Val accuracy / confusion: 56.54% / [[162, 54, 14], [68, 73, 34], [17, 39, 59]] ------------------------------ Epoch 1680 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495750 - Iter 024 / 025, Loss: 0.663312 * Train accuracy / confusion: 77.12% / [[296, 51, 9], [60, 188, 20], [13, 30, 133]], * Val accuracy / confusion: 60.77% / [[165, 54, 11], [62, 93, 20], [16, 41, 58]] ------------------------------ Epoch 1681 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369698 - Iter 024 / 025, Loss: 0.432624 * Train accuracy / confusion: 76.50% / [[302, 46, 10], [63, 176, 23], [13, 33, 134]], * Val accuracy / confusion: 57.31% / [[158, 56, 16], [71, 80, 24], [18, 37, 60]] ------------------------------ Epoch 1682 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.465906 - Iter 024 / 025, Loss: 0.552041 * Train accuracy / confusion: 74.50% / [[288, 51, 21], [63, 182, 22], [15, 32, 126]], * Val accuracy / confusion: 55.38% / [[157, 53, 20], [68, 81, 26], [19, 46, 50]] ------------------------------ Epoch 1683 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471745 - Iter 024 / 025, Loss: 0.674299 * Train accuracy / confusion: 78.38% / [[305, 42, 7], [59, 188, 24], [11, 30, 134]], * Val accuracy / confusion: 56.92% / [[160, 57, 13], [58, 94, 23], [18, 55, 42]] ------------------------------ Epoch 1684 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390906 - Iter 024 / 025, Loss: 0.596170 * Train accuracy / confusion: 77.88% / [[308, 42, 6], [70, 181, 17], [7, 35, 134]], * Val accuracy / confusion: 59.23% / [[168, 47, 15], [67, 87, 21], [16, 46, 53]] ------------------------------ Epoch 1685 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534959 - Iter 024 / 025, Loss: 0.510702 * Train accuracy / confusion: 75.00% / [[295, 50, 13], [62, 178, 25], [13, 37, 127]], * Val accuracy / confusion: 59.42% / [[163, 55, 12], [66, 85, 24], [15, 39, 61]] ------------------------------ Epoch 1686 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590959 - Iter 024 / 025, Loss: 0.596970 * Train accuracy / confusion: 78.25% / [[300, 44, 14], [56, 190, 20], [10, 30, 136]], * Val accuracy / confusion: 58.85% / [[160, 54, 16], [61, 89, 25], [17, 41, 57]] ------------------------------ Epoch 1687 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.757112 - Iter 024 / 025, Loss: 0.539403 * Train accuracy / confusion: 77.62% / [[298, 42, 9], [63, 189, 17], [17, 31, 134]], * Val accuracy / confusion: 57.69% / [[153, 61, 16], [61, 95, 19], [25, 38, 52]] ------------------------------ Epoch 1688 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508706 - Iter 024 / 025, Loss: 0.652674 * Train accuracy / confusion: 75.88% / [[296, 45, 12], [69, 188, 14], [17, 36, 123]], * Val accuracy / confusion: 59.42% / [[162, 52, 16], [61, 93, 21], [18, 43, 54]] ------------------------------ Epoch 1689 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430359 - Iter 024 / 025, Loss: 0.680508 * Train accuracy / confusion: 75.50% / [[293, 51, 11], [64, 176, 24], [14, 32, 135]], * Val accuracy / confusion: 57.88% / [[159, 54, 17], [65, 83, 27], [16, 40, 59]] ------------------------------ Epoch 1690 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.824907 - Iter 024 / 025, Loss: 0.484983 * Train accuracy / confusion: 74.00% / [[293, 48, 16], [61, 178, 26], [18, 39, 121]], * Val accuracy / confusion: 57.31% / [[165, 49, 16], [75, 76, 24], [16, 42, 57]] ------------------------------ Epoch 1691 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.566068 - Iter 024 / 025, Loss: 0.614207 * Train accuracy / confusion: 76.50% / [[302, 36, 17], [58, 182, 30], [14, 33, 128]], * Val accuracy / confusion: 59.23% / [[157, 54, 19], [60, 90, 25], [20, 34, 61]] ------------------------------ Epoch 1692 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.719067 - Iter 024 / 025, Loss: 0.666798 * Train accuracy / confusion: 77.75% / [[299, 43, 13], [58, 187, 25], [11, 28, 136]], * Val accuracy / confusion: 58.85% / [[161, 56, 13], [59, 79, 37], [17, 32, 66]] ------------------------------ Epoch 1693 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.623209 - Iter 024 / 025, Loss: 0.653250 * Train accuracy / confusion: 76.25% / [[296, 47, 11], [66, 180, 23], [9, 34, 134]], * Val accuracy / confusion: 57.31% / [[158, 60, 12], [60, 83, 32], [13, 45, 57]] ------------------------------ Epoch 1694 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.700703 - Iter 024 / 025, Loss: 0.293737 * Train accuracy / confusion: 77.38% / [[309, 39, 11], [58, 186, 20], [16, 37, 124]], * Val accuracy / confusion: 56.92% / [[151, 60, 19], [66, 89, 20], [14, 45, 56]] ------------------------------ Epoch 1695 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472707 - Iter 024 / 025, Loss: 0.563135 * Train accuracy / confusion: 76.00% / [[295, 55, 9], [58, 176, 28], [10, 32, 137]], * Val accuracy / confusion: 56.73% / [[156, 57, 17], [69, 81, 25], [16, 41, 58]] ------------------------------ Epoch 1696 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609253 - Iter 024 / 025, Loss: 0.508249 * Train accuracy / confusion: 74.75% / [[291, 55, 8], [64, 180, 23], [15, 37, 127]], * Val accuracy / confusion: 58.85% / [[164, 47, 19], [68, 84, 23], [16, 41, 58]] ------------------------------ Epoch 1697 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.148140 - Iter 024 / 025, Loss: 0.439766 * Train accuracy / confusion: 75.75% / [[292, 47, 12], [66, 185, 18], [14, 37, 129]], * Val accuracy / confusion: 57.50% / [[164, 44, 22], [69, 85, 21], [15, 50, 50]] ------------------------------ Epoch 1698 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.631796 - Iter 024 / 025, Loss: 0.736154 * Train accuracy / confusion: 77.25% / [[297, 48, 9], [64, 186, 20], [17, 24, 135]], * Val accuracy / confusion: 60.77% / [[157, 56, 17], [53, 103, 19], [15, 44, 56]] ------------------------------ Epoch 1699 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.318907 - Iter 024 / 025, Loss: 0.503000 * Train accuracy / confusion: 76.50% / [[293, 46, 14], [57, 183, 25], [10, 36, 136]], * Val accuracy / confusion: 59.62% / [[150, 58, 22], [55, 103, 17], [19, 39, 57]] ------------------------------ Epoch 1700 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594827 - Iter 024 / 025, Loss: 0.586628 * Train accuracy / confusion: 77.12% / [[304, 44, 10], [64, 186, 17], [13, 35, 127]], * Val accuracy / confusion: 58.65% / [[157, 59, 14], [59, 92, 24], [18, 41, 56]] ------------------------------ Epoch 1701 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606598 - Iter 024 / 025, Loss: 0.410018 * Train accuracy / confusion: 76.88% / [[301, 43, 11], [57, 189, 21], [14, 39, 125]], * Val accuracy / confusion: 51.35% / [[145, 65, 20], [66, 77, 32], [20, 50, 45]] ------------------------------ Epoch 1702 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437254 - Iter 024 / 025, Loss: 0.331698 * Train accuracy / confusion: 75.00% / [[294, 53, 9], [64, 181, 22], [15, 37, 125]], * Val accuracy / confusion: 57.12% / [[155, 55, 20], [63, 86, 26], [15, 44, 56]] ------------------------------ Epoch 1703 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.347494 - Iter 024 / 025, Loss: 0.549806 * Train accuracy / confusion: 76.62% / [[301, 44, 12], [66, 176, 28], [7, 30, 136]], * Val accuracy / confusion: 55.19% / [[159, 52, 19], [70, 71, 34], [20, 38, 57]] ------------------------------ Epoch 1704 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.350898 - Iter 024 / 025, Loss: 0.610150 * Train accuracy / confusion: 75.25% / [[300, 46, 9], [67, 173, 29], [14, 33, 129]], * Val accuracy / confusion: 56.92% / [[155, 55, 20], [63, 87, 25], [15, 46, 54]] ------------------------------ Epoch 1705 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.523145 - Iter 024 / 025, Loss: 0.647664 * Train accuracy / confusion: 77.12% / [[302, 48, 7], [66, 177, 23], [12, 27, 138]], * Val accuracy / confusion: 60.96% / [[157, 58, 15], [54, 99, 22], [17, 37, 61]] ------------------------------ Epoch 1706 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424659 - Iter 024 / 025, Loss: 0.565564 * Train accuracy / confusion: 77.50% / [[295, 50, 9], [65, 187, 18], [12, 26, 138]], * Val accuracy / confusion: 56.73% / [[154, 59, 17], [64, 85, 26], [12, 47, 56]] ------------------------------ Epoch 1707 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.602414 - Iter 024 / 025, Loss: 0.479356 * Train accuracy / confusion: 75.00% / [[295, 52, 12], [61, 174, 31], [11, 33, 131]], * Val accuracy / confusion: 59.23% / [[158, 56, 16], [68, 89, 18], [15, 39, 61]] ------------------------------ Epoch 1708 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.505378 - Iter 024 / 025, Loss: 0.743933 * Train accuracy / confusion: 76.12% / [[295, 48, 14], [58, 183, 26], [13, 32, 131]], * Val accuracy / confusion: 55.77% / [[149, 62, 19], [60, 91, 24], [21, 44, 50]] ------------------------------ Epoch 1709 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.848629 - Iter 024 / 025, Loss: 0.422691 * Train accuracy / confusion: 76.50% / [[297, 58, 4], [60, 183, 21], [15, 30, 132]], * Val accuracy / confusion: 59.42% / [[160, 55, 15], [58, 97, 20], [12, 51, 52]] ------------------------------ Epoch 1710 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490812 - Iter 024 / 025, Loss: 0.482594 * Train accuracy / confusion: 76.12% / [[298, 52, 9], [65, 176, 24], [9, 32, 135]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [54, 87, 34], [14, 51, 50]] ------------------------------ Epoch 1711 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380752 - Iter 024 / 025, Loss: 0.453816 * Train accuracy / confusion: 76.88% / [[304, 45, 8], [62, 175, 28], [12, 30, 136]], * Val accuracy / confusion: 59.04% / [[160, 53, 17], [63, 91, 21], [19, 40, 56]] ------------------------------ Epoch 1712 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380698 - Iter 024 / 025, Loss: 0.397819 * Train accuracy / confusion: 75.88% / [[293, 48, 11], [50, 188, 32], [10, 42, 126]], * Val accuracy / confusion: 58.08% / [[159, 57, 14], [60, 87, 28], [15, 44, 56]] ------------------------------ Epoch 1713 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.693953 - Iter 024 / 025, Loss: 0.540138 * Train accuracy / confusion: 77.62% / [[302, 47, 9], [57, 186, 26], [15, 25, 133]], * Val accuracy / confusion: 60.00% / [[166, 53, 11], [64, 91, 20], [20, 40, 55]] ------------------------------ Epoch 1714 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608572 - Iter 024 / 025, Loss: 0.469200 * Train accuracy / confusion: 76.38% / [[296, 48, 13], [69, 181, 17], [13, 29, 134]], * Val accuracy / confusion: 57.69% / [[157, 54, 19], [67, 93, 15], [13, 52, 50]] ------------------------------ Epoch 1715 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528795 - Iter 024 / 025, Loss: 0.347362 * Train accuracy / confusion: 77.50% / [[300, 38, 14], [61, 186, 23], [13, 31, 134]], * Val accuracy / confusion: 58.46% / [[158, 49, 23], [66, 86, 23], [13, 42, 60]] ------------------------------ Epoch 1716 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612821 - Iter 024 / 025, Loss: 0.439391 * Train accuracy / confusion: 77.00% / [[300, 46, 10], [62, 184, 19], [19, 28, 132]], * Val accuracy / confusion: 57.12% / [[156, 63, 11], [65, 81, 29], [17, 38, 60]] ------------------------------ Epoch 1717 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543649 - Iter 024 / 025, Loss: 0.693709 * Train accuracy / confusion: 76.62% / [[301, 36, 18], [59, 188, 22], [20, 32, 124]], * Val accuracy / confusion: 57.12% / [[152, 58, 20], [64, 84, 27], [19, 35, 61]] ------------------------------ Epoch 1718 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.388253 - Iter 024 / 025, Loss: 0.547705 * Train accuracy / confusion: 78.38% / [[306, 43, 11], [56, 184, 22], [11, 30, 137]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [61, 82, 32], [11, 47, 57]] ------------------------------ Epoch 1719 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.879812 - Iter 024 / 025, Loss: 0.408184 * Train accuracy / confusion: 76.75% / [[297, 44, 13], [61, 184, 23], [10, 35, 133]], * Val accuracy / confusion: 54.62% / [[154, 56, 20], [58, 74, 43], [19, 40, 56]] ------------------------------ Epoch 1720 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.600198 - Iter 024 / 025, Loss: 0.531135 * Train accuracy / confusion: 76.62% / [[297, 48, 9], [64, 176, 28], [11, 27, 140]], * Val accuracy / confusion: 57.31% / [[155, 58, 17], [65, 95, 15], [21, 46, 48]] ------------------------------ Epoch 1721 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.460301 - Iter 024 / 025, Loss: 0.414954 * Train accuracy / confusion: 75.62% / [[296, 42, 19], [53, 191, 24], [14, 43, 118]], * Val accuracy / confusion: 58.08% / [[148, 69, 13], [60, 97, 18], [16, 42, 57]] ------------------------------ Epoch 1722 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477099 - Iter 024 / 025, Loss: 0.467032 * Train accuracy / confusion: 77.50% / [[299, 46, 11], [59, 188, 21], [11, 32, 133]], * Val accuracy / confusion: 56.35% / [[152, 62, 16], [65, 89, 21], [18, 45, 52]] ------------------------------ Epoch 1723 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620992 - Iter 024 / 025, Loss: 0.617066 * Train accuracy / confusion: 77.25% / [[300, 43, 13], [52, 194, 18], [16, 40, 124]], * Val accuracy / confusion: 56.35% / [[155, 59, 16], [68, 81, 26], [19, 39, 57]] ------------------------------ Epoch 1724 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.544412 - Iter 024 / 025, Loss: 0.414765 * Train accuracy / confusion: 75.12% / [[292, 48, 14], [63, 177, 31], [10, 33, 132]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [61, 87, 27], [15, 40, 60]] ------------------------------ Epoch 1725 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.687799 - Iter 024 / 025, Loss: 0.478742 * Train accuracy / confusion: 76.38% / [[298, 49, 10], [65, 179, 21], [10, 34, 134]], * Val accuracy / confusion: 59.42% / [[155, 62, 13], [56, 95, 24], [17, 39, 59]] ------------------------------ Epoch 1726 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472126 - Iter 024 / 025, Loss: 0.459351 * Train accuracy / confusion: 77.88% / [[302, 38, 17], [56, 183, 24], [13, 29, 138]], * Val accuracy / confusion: 59.42% / [[158, 57, 15], [64, 92, 19], [18, 38, 59]] ------------------------------ Epoch 1727 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.415463 - Iter 024 / 025, Loss: 0.367971 * Train accuracy / confusion: 76.38% / [[301, 43, 8], [71, 178, 22], [11, 34, 132]], * Val accuracy / confusion: 58.46% / [[156, 61, 13], [51, 98, 26], [13, 52, 50]] ------------------------------ Epoch 1728 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.641846 - Iter 024 / 025, Loss: 0.607718 * Train accuracy / confusion: 77.00% / [[299, 42, 11], [66, 178, 27], [9, 29, 139]], * Val accuracy / confusion: 57.88% / [[158, 59, 13], [69, 85, 21], [13, 44, 58]] ------------------------------ Epoch 1729 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424066 - Iter 024 / 025, Loss: 0.626314 * Train accuracy / confusion: 78.62% / [[301, 37, 17], [59, 191, 19], [10, 29, 137]], * Val accuracy / confusion: 56.73% / [[149, 64, 17], [61, 95, 19], [19, 45, 51]] ------------------------------ Epoch 1730 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.514299 - Iter 024 / 025, Loss: 0.751357 * Train accuracy / confusion: 78.12% / [[296, 48, 11], [57, 189, 20], [12, 27, 140]], * Val accuracy / confusion: 58.27% / [[152, 61, 17], [60, 94, 21], [16, 42, 57]] ------------------------------ Epoch 1731 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557625 - Iter 024 / 025, Loss: 0.731249 * Train accuracy / confusion: 78.12% / [[309, 38, 11], [60, 186, 21], [13, 32, 130]], * Val accuracy / confusion: 57.88% / [[159, 57, 14], [64, 84, 27], [20, 37, 58]] ------------------------------ Epoch 1732 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.671641 - Iter 024 / 025, Loss: 0.775218 * Train accuracy / confusion: 75.50% / [[293, 51, 10], [69, 181, 19], [14, 33, 130]], * Val accuracy / confusion: 56.92% / [[166, 43, 21], [69, 77, 29], [17, 45, 53]] ------------------------------ Epoch 1733 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437648 - Iter 024 / 025, Loss: 0.540137 * Train accuracy / confusion: 76.00% / [[294, 58, 10], [59, 185, 21], [7, 37, 129]], * Val accuracy / confusion: 55.19% / [[142, 63, 25], [65, 88, 22], [11, 47, 57]] ------------------------------ Epoch 1734 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.643134 - Iter 024 / 025, Loss: 0.610893 * Train accuracy / confusion: 75.12% / [[292, 54, 14], [68, 181, 17], [13, 33, 128]], * Val accuracy / confusion: 55.00% / [[148, 58, 24], [63, 85, 27], [18, 44, 53]] ------------------------------ Epoch 1735 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689720 - Iter 024 / 025, Loss: 0.452314 * Train accuracy / confusion: 77.88% / [[311, 39, 7], [53, 188, 27], [12, 39, 124]], * Val accuracy / confusion: 55.00% / [[155, 55, 20], [70, 81, 24], [21, 44, 50]] ------------------------------ Epoch 1736 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.366018 - Iter 024 / 025, Loss: 0.784269 * Train accuracy / confusion: 78.38% / [[305, 41, 15], [51, 185, 28], [13, 25, 137]], * Val accuracy / confusion: 55.58% / [[153, 63, 14], [59, 91, 25], [21, 49, 45]] ------------------------------ Epoch 1737 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.713449 - Iter 024 / 025, Loss: 0.580078 * Train accuracy / confusion: 78.38% / [[302, 43, 8], [57, 191, 26], [8, 31, 134]], * Val accuracy / confusion: 56.92% / [[151, 64, 15], [57, 90, 28], [10, 50, 55]] ------------------------------ Epoch 1738 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.923278 - Iter 024 / 025, Loss: 0.559291 * Train accuracy / confusion: 75.62% / [[297, 55, 10], [56, 181, 26], [11, 37, 127]], * Val accuracy / confusion: 57.88% / [[151, 59, 20], [59, 94, 22], [17, 42, 56]] ------------------------------ Epoch 1739 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627221 - Iter 024 / 025, Loss: 0.542457 * Train accuracy / confusion: 75.50% / [[295, 47, 15], [59, 185, 24], [20, 31, 124]], * Val accuracy / confusion: 55.00% / [[141, 70, 19], [49, 95, 31], [15, 50, 50]] ------------------------------ Epoch 1740 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649259 - Iter 024 / 025, Loss: 0.479210 * Train accuracy / confusion: 77.38% / [[302, 43, 13], [57, 185, 24], [11, 33, 132]], * Val accuracy / confusion: 55.77% / [[149, 59, 22], [64, 87, 24], [15, 46, 54]] ------------------------------ Epoch 1741 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609264 - Iter 024 / 025, Loss: 0.654269 * Train accuracy / confusion: 77.12% / [[303, 46, 8], [62, 182, 20], [11, 36, 132]], * Val accuracy / confusion: 59.62% / [[161, 60, 9], [64, 92, 19], [17, 41, 57]] ------------------------------ Epoch 1742 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503794 - Iter 024 / 025, Loss: 0.627419 * Train accuracy / confusion: 76.75% / [[294, 56, 5], [60, 187, 24], [9, 32, 133]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [63, 92, 20], [14, 47, 54]] ------------------------------ Epoch 1743 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612735 - Iter 024 / 025, Loss: 0.492323 * Train accuracy / confusion: 78.62% / [[303, 41, 13], [49, 194, 26], [13, 29, 132]], * Val accuracy / confusion: 56.15% / [[144, 63, 23], [58, 91, 26], [17, 41, 57]] ------------------------------ Epoch 1744 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.375976 - Iter 024 / 025, Loss: 0.397675 * Train accuracy / confusion: 76.25% / [[312, 38, 11], [67, 165, 30], [15, 29, 133]], * Val accuracy / confusion: 59.04% / [[160, 54, 16], [62, 90, 23], [18, 40, 57]] ------------------------------ Epoch 1745 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.623318 - Iter 024 / 025, Loss: 0.693563 * Train accuracy / confusion: 77.75% / [[298, 47, 12], [53, 196, 19], [15, 32, 128]], * Val accuracy / confusion: 55.77% / [[154, 55, 21], [67, 84, 24], [17, 46, 52]] ------------------------------ Epoch 1746 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.489741 - Iter 024 / 025, Loss: 0.457127 * Train accuracy / confusion: 79.38% / [[301, 47, 12], [55, 194, 17], [7, 27, 140]], * Val accuracy / confusion: 59.81% / [[166, 40, 24], [62, 85, 28], [15, 40, 60]] ------------------------------ Epoch 1747 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627975 - Iter 024 / 025, Loss: 0.486955 * Train accuracy / confusion: 75.88% / [[295, 45, 13], [61, 182, 25], [13, 36, 130]], * Val accuracy / confusion: 56.92% / [[158, 56, 16], [58, 86, 31], [14, 49, 52]] ------------------------------ Epoch 1748 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496995 - Iter 024 / 025, Loss: 0.619497 * Train accuracy / confusion: 77.75% / [[294, 52, 8], [62, 184, 20], [7, 29, 144]], * Val accuracy / confusion: 54.62% / [[151, 58, 21], [70, 90, 15], [23, 49, 43]] ------------------------------ Epoch 1749 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562221 - Iter 024 / 025, Loss: 0.522813 * Train accuracy / confusion: 74.75% / [[295, 48, 15], [63, 172, 27], [14, 35, 131]], * Val accuracy / confusion: 57.88% / [[146, 58, 26], [51, 98, 26], [23, 35, 57]] ------------------------------ Epoch 1750 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.429610 - Iter 024 / 025, Loss: 0.527434 * Train accuracy / confusion: 73.75% / [[287, 56, 14], [71, 180, 22], [16, 31, 123]], * Val accuracy / confusion: 55.19% / [[153, 55, 22], [68, 78, 29], [24, 35, 56]] ------------------------------ Epoch 1751 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575972 - Iter 024 / 025, Loss: 0.604517 * Train accuracy / confusion: 76.62% / [[292, 54, 9], [65, 181, 22], [13, 24, 140]], * Val accuracy / confusion: 55.00% / [[153, 61, 16], [65, 75, 35], [17, 40, 58]] ------------------------------ Epoch 1752 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.436693 - Iter 024 / 025, Loss: 0.847815 * Train accuracy / confusion: 77.50% / [[300, 53, 9], [60, 181, 21], [12, 25, 139]], * Val accuracy / confusion: 56.92% / [[152, 54, 24], [66, 91, 18], [21, 41, 53]] ------------------------------ Epoch 1753 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507735 - Iter 024 / 025, Loss: 0.605349 * Train accuracy / confusion: 76.00% / [[292, 51, 16], [56, 182, 30], [13, 26, 134]], * Val accuracy / confusion: 59.04% / [[164, 53, 13], [57, 89, 29], [14, 47, 54]] ------------------------------ Epoch 1754 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353408 - Iter 024 / 025, Loss: 0.770958 * Train accuracy / confusion: 76.88% / [[305, 42, 9], [68, 182, 19], [16, 31, 128]], * Val accuracy / confusion: 56.54% / [[151, 59, 20], [72, 86, 17], [14, 44, 57]] ------------------------------ Epoch 1755 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.398708 - Iter 024 / 025, Loss: 0.845489 * Train accuracy / confusion: 74.88% / [[292, 51, 13], [62, 181, 23], [7, 45, 126]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [57, 89, 29], [18, 46, 51]] ------------------------------ Epoch 1756 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557335 - Iter 024 / 025, Loss: 0.620175 * Train accuracy / confusion: 79.50% / [[312, 40, 7], [68, 177, 18], [9, 22, 147]], * Val accuracy / confusion: 61.15% / [[164, 53, 13], [58, 92, 25], [17, 36, 62]] ------------------------------ Epoch 1757 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634978 - Iter 024 / 025, Loss: 0.540689 * Train accuracy / confusion: 75.25% / [[295, 48, 14], [65, 180, 20], [14, 37, 127]], * Val accuracy / confusion: 56.54% / [[163, 43, 24], [71, 78, 26], [22, 40, 53]] ------------------------------ Epoch 1758 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.374238 - Iter 024 / 025, Loss: 0.378656 * Train accuracy / confusion: 75.25% / [[295, 48, 13], [64, 178, 25], [13, 35, 129]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [66, 87, 22], [18, 44, 53]] ------------------------------ Epoch 1759 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459696 - Iter 024 / 025, Loss: 0.586288 * Train accuracy / confusion: 76.50% / [[296, 51, 12], [50, 183, 30], [13, 32, 133]], * Val accuracy / confusion: 57.31% / [[153, 59, 18], [64, 89, 22], [19, 40, 56]] ------------------------------ Epoch 1760 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.670663 - Iter 024 / 025, Loss: 0.465538 * Train accuracy / confusion: 76.50% / [[306, 36, 15], [65, 183, 22], [11, 39, 123]], * Val accuracy / confusion: 57.50% / [[154, 59, 17], [50, 91, 34], [19, 42, 54]] ------------------------------ Epoch 1761 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.533484 - Iter 024 / 025, Loss: 0.389842 * Train accuracy / confusion: 79.75% / [[304, 38, 10], [55, 194, 20], [9, 30, 140]], * Val accuracy / confusion: 56.54% / [[155, 55, 20], [56, 90, 29], [16, 50, 49]] ------------------------------ Epoch 1762 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550114 - Iter 024 / 025, Loss: 0.669313 * Train accuracy / confusion: 76.88% / [[298, 49, 13], [56, 184, 27], [9, 31, 133]], * Val accuracy / confusion: 58.85% / [[154, 53, 23], [59, 90, 26], [10, 43, 62]] ------------------------------ Epoch 1763 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.736751 - Iter 024 / 025, Loss: 0.360648 * Train accuracy / confusion: 75.00% / [[295, 53, 9], [66, 173, 25], [10, 37, 132]], * Val accuracy / confusion: 60.96% / [[159, 56, 15], [53, 103, 19], [11, 49, 55]] ------------------------------ Epoch 1764 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502853 - Iter 024 / 025, Loss: 0.378857 * Train accuracy / confusion: 76.38% / [[294, 44, 15], [58, 185, 26], [13, 33, 132]], * Val accuracy / confusion: 55.96% / [[150, 62, 18], [58, 93, 24], [17, 50, 48]] ------------------------------ Epoch 1765 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506268 - Iter 024 / 025, Loss: 0.684887 * Train accuracy / confusion: 74.38% / [[295, 52, 11], [64, 173, 26], [15, 37, 127]], * Val accuracy / confusion: 56.73% / [[156, 60, 14], [62, 91, 22], [21, 46, 48]] ------------------------------ Epoch 1766 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.704777 - Iter 024 / 025, Loss: 0.339420 * Train accuracy / confusion: 78.38% / [[301, 44, 12], [61, 188, 21], [6, 29, 138]], * Val accuracy / confusion: 57.12% / [[156, 56, 18], [66, 85, 24], [20, 39, 56]] ------------------------------ Epoch 1767 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657502 - Iter 024 / 025, Loss: 0.591717 * Train accuracy / confusion: 77.38% / [[301, 43, 11], [67, 180, 21], [10, 29, 138]], * Val accuracy / confusion: 56.35% / [[148, 65, 17], [61, 88, 26], [14, 44, 57]] ------------------------------ Epoch 1768 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405637 - Iter 024 / 025, Loss: 0.816519 * Train accuracy / confusion: 74.00% / [[289, 54, 11], [75, 171, 22], [14, 32, 132]], * Val accuracy / confusion: 58.08% / [[160, 52, 18], [67, 88, 20], [16, 45, 54]] ------------------------------ Epoch 1769 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461907 - Iter 024 / 025, Loss: 0.591018 * Train accuracy / confusion: 77.50% / [[295, 53, 9], [59, 192, 17], [14, 28, 133]], * Val accuracy / confusion: 61.92% / [[171, 50, 9], [67, 88, 20], [15, 37, 63]] ------------------------------ Epoch 1770 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490910 - Iter 024 / 025, Loss: 0.658338 * Train accuracy / confusion: 75.38% / [[298, 50, 10], [71, 170, 24], [9, 33, 135]], * Val accuracy / confusion: 60.38% / [[160, 55, 15], [51, 95, 29], [17, 39, 59]] ------------------------------ Epoch 1771 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.517851 - Iter 024 / 025, Loss: 0.614249 * Train accuracy / confusion: 76.62% / [[301, 43, 12], [52, 187, 28], [15, 37, 125]], * Val accuracy / confusion: 56.73% / [[154, 63, 13], [60, 88, 27], [18, 44, 53]] ------------------------------ Epoch 1772 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509684 - Iter 024 / 025, Loss: 0.640831 * Train accuracy / confusion: 75.62% / [[285, 62, 10], [59, 187, 22], [7, 35, 133]], * Val accuracy / confusion: 58.65% / [[155, 63, 12], [54, 100, 21], [15, 50, 50]] ------------------------------ Epoch 1773 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496068 - Iter 024 / 025, Loss: 0.494606 * Train accuracy / confusion: 76.00% / [[300, 49, 9], [74, 177, 15], [9, 36, 131]], * Val accuracy / confusion: 57.12% / [[155, 59, 16], [61, 92, 22], [19, 46, 50]] ------------------------------ Epoch 1774 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575888 - Iter 024 / 025, Loss: 0.505264 * Train accuracy / confusion: 78.50% / [[306, 41, 6], [74, 183, 15], [13, 23, 139]], * Val accuracy / confusion: 59.23% / [[161, 56, 13], [65, 93, 17], [17, 44, 54]] ------------------------------ Epoch 1775 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486957 - Iter 024 / 025, Loss: 0.594088 * Train accuracy / confusion: 79.50% / [[314, 35, 8], [62, 185, 20], [10, 29, 137]], * Val accuracy / confusion: 57.69% / [[161, 56, 13], [65, 89, 21], [16, 49, 50]] ------------------------------ Epoch 1776 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612401 - Iter 024 / 025, Loss: 0.422169 * Train accuracy / confusion: 76.38% / [[294, 48, 11], [64, 181, 26], [9, 31, 136]], * Val accuracy / confusion: 57.88% / [[162, 48, 20], [66, 87, 22], [24, 39, 52]] ------------------------------ Epoch 1777 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550025 - Iter 024 / 025, Loss: 0.445831 * Train accuracy / confusion: 77.75% / [[296, 52, 10], [61, 188, 19], [10, 26, 138]], * Val accuracy / confusion: 57.50% / [[157, 51, 22], [56, 93, 26], [20, 46, 49]] ------------------------------ Epoch 1778 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405421 - Iter 024 / 025, Loss: 0.492107 * Train accuracy / confusion: 76.88% / [[297, 43, 12], [73, 176, 21], [10, 26, 142]], * Val accuracy / confusion: 56.54% / [[155, 62, 13], [65, 91, 19], [27, 40, 48]] ------------------------------ Epoch 1779 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541040 - Iter 024 / 025, Loss: 0.620006 * Train accuracy / confusion: 77.12% / [[305, 45, 6], [70, 178, 21], [11, 30, 134]], * Val accuracy / confusion: 58.65% / [[151, 64, 15], [56, 102, 17], [18, 45, 52]] ------------------------------ Epoch 1780 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431598 - Iter 024 / 025, Loss: 0.593065 * Train accuracy / confusion: 78.00% / [[308, 34, 12], [65, 182, 21], [12, 32, 134]], * Val accuracy / confusion: 55.96% / [[156, 56, 18], [71, 82, 22], [15, 47, 53]] ------------------------------ Epoch 1781 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506708 - Iter 024 / 025, Loss: 0.524585 * Train accuracy / confusion: 78.75% / [[302, 50, 3], [60, 193, 14], [13, 30, 135]], * Val accuracy / confusion: 56.92% / [[152, 61, 17], [65, 86, 24], [19, 38, 58]] ------------------------------ Epoch 1782 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561063 - Iter 024 / 025, Loss: 0.384605 * Train accuracy / confusion: 77.25% / [[297, 49, 11], [60, 189, 19], [11, 32, 132]], * Val accuracy / confusion: 57.31% / [[152, 66, 12], [57, 88, 30], [10, 47, 58]] ------------------------------ Epoch 1783 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.664305 - Iter 024 / 025, Loss: 0.492569 * Train accuracy / confusion: 78.38% / [[300, 44, 12], [57, 193, 20], [15, 25, 134]], * Val accuracy / confusion: 57.12% / [[159, 55, 16], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 1784 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503181 - Iter 024 / 025, Loss: 0.553829 * Train accuracy / confusion: 75.88% / [[302, 44, 12], [58, 180, 28], [20, 31, 125]], * Val accuracy / confusion: 57.31% / [[165, 50, 15], [68, 78, 29], [11, 49, 55]] ------------------------------ Epoch 1785 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496039 - Iter 024 / 025, Loss: 0.825757 * Train accuracy / confusion: 76.62% / [[299, 49, 6], [71, 175, 21], [9, 31, 139]], * Val accuracy / confusion: 56.73% / [[146, 67, 17], [58, 96, 21], [23, 39, 53]] ------------------------------ Epoch 1786 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431129 - Iter 024 / 025, Loss: 0.379299 * Train accuracy / confusion: 78.00% / [[301, 41, 12], [57, 186, 27], [14, 25, 137]], * Val accuracy / confusion: 59.42% / [[159, 58, 13], [58, 88, 29], [15, 38, 62]] ------------------------------ Epoch 1787 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.709527 - Iter 024 / 025, Loss: 0.703421 * Train accuracy / confusion: 75.00% / [[293, 53, 11], [62, 175, 31], [11, 32, 132]], * Val accuracy / confusion: 57.88% / [[152, 58, 20], [54, 90, 31], [17, 39, 59]] ------------------------------ Epoch 1788 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.743694 - Iter 024 / 025, Loss: 0.662426 * Train accuracy / confusion: 76.12% / [[301, 42, 14], [61, 180, 24], [15, 35, 128]], * Val accuracy / confusion: 58.85% / [[160, 51, 19], [66, 88, 21], [17, 40, 58]] ------------------------------ Epoch 1789 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.681934 - Iter 024 / 025, Loss: 0.592827 * Train accuracy / confusion: 77.38% / [[295, 47, 14], [57, 189, 21], [14, 28, 135]], * Val accuracy / confusion: 58.85% / [[153, 56, 21], [64, 89, 22], [12, 39, 64]] ------------------------------ Epoch 1790 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.499990 - Iter 024 / 025, Loss: 0.553563 * Train accuracy / confusion: 78.38% / [[303, 44, 9], [54, 193, 20], [14, 32, 131]], * Val accuracy / confusion: 59.81% / [[168, 50, 12], [64, 84, 27], [20, 36, 59]] ------------------------------ Epoch 1791 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.489476 - Iter 024 / 025, Loss: 0.544493 * Train accuracy / confusion: 77.12% / [[295, 49, 13], [64, 181, 21], [12, 24, 141]], * Val accuracy / confusion: 58.85% / [[163, 45, 22], [61, 87, 27], [18, 41, 56]] ------------------------------ Epoch 1792 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587793 - Iter 024 / 025, Loss: 0.408497 * Train accuracy / confusion: 77.75% / [[300, 47, 8], [61, 189, 19], [10, 33, 133]], * Val accuracy / confusion: 55.77% / [[156, 58, 16], [71, 83, 21], [18, 46, 51]] ------------------------------ Epoch 1793 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486322 - Iter 024 / 025, Loss: 0.532952 * Train accuracy / confusion: 76.38% / [[299, 51, 7], [56, 186, 24], [16, 35, 126]], * Val accuracy / confusion: 58.27% / [[161, 52, 17], [60, 88, 27], [19, 42, 54]] ------------------------------ Epoch 1794 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537455 - Iter 024 / 025, Loss: 0.718478 * Train accuracy / confusion: 77.12% / [[300, 50, 10], [64, 182, 22], [10, 27, 135]], * Val accuracy / confusion: 58.85% / [[160, 53, 17], [55, 88, 32], [15, 42, 58]] ------------------------------ Epoch 1795 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.882909 - Iter 024 / 025, Loss: 0.693016 * Train accuracy / confusion: 77.75% / [[300, 52, 8], [51, 192, 19], [16, 32, 130]], * Val accuracy / confusion: 58.46% / [[160, 52, 18], [62, 90, 23], [13, 48, 54]] ------------------------------ Epoch 1796 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.730191 - Iter 024 / 025, Loss: 0.355010 * Train accuracy / confusion: 75.75% / [[292, 51, 12], [58, 190, 22], [15, 36, 124]], * Val accuracy / confusion: 60.19% / [[160, 50, 20], [59, 94, 22], [17, 39, 59]] ------------------------------ Epoch 1797 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.818720 - Iter 024 / 025, Loss: 0.509556 * Train accuracy / confusion: 77.00% / [[292, 52, 11], [58, 192, 18], [16, 29, 132]], * Val accuracy / confusion: 57.50% / [[157, 57, 16], [66, 87, 22], [21, 39, 55]] ------------------------------ Epoch 1798 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443709 - Iter 024 / 025, Loss: 0.514905 * Train accuracy / confusion: 77.75% / [[300, 48, 10], [63, 182, 23], [13, 21, 140]], * Val accuracy / confusion: 56.73% / [[152, 60, 18], [62, 90, 23], [16, 46, 53]] ------------------------------ Epoch 1799 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497418 - Iter 024 / 025, Loss: 0.541128 * Train accuracy / confusion: 76.38% / [[296, 49, 8], [64, 180, 25], [12, 31, 135]], * Val accuracy / confusion: 58.85% / [[158, 57, 15], [55, 90, 30], [16, 41, 58]] ------------------------------ Epoch 1800 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509575 - Iter 024 / 025, Loss: 0.497681 * Train accuracy / confusion: 77.25% / [[288, 58, 5], [55, 190, 25], [8, 31, 140]], * Val accuracy / confusion: 56.92% / [[158, 57, 15], [66, 85, 24], [19, 43, 53]] ------------------------------ Epoch 1801 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.414096 - Iter 024 / 025, Loss: 0.639950 * Train accuracy / confusion: 75.75% / [[298, 41, 13], [61, 177, 34], [12, 33, 131]], * Val accuracy / confusion: 57.31% / [[156, 53, 21], [66, 83, 26], [21, 35, 59]] ------------------------------ Epoch 1802 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.570718 - Iter 024 / 025, Loss: 0.305501 * Train accuracy / confusion: 79.38% / [[302, 40, 12], [51, 198, 20], [11, 31, 135]], * Val accuracy / confusion: 58.65% / [[164, 50, 16], [63, 89, 23], [21, 42, 52]] ------------------------------ Epoch 1803 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.597875 - Iter 024 / 025, Loss: 0.487665 * Train accuracy / confusion: 75.88% / [[292, 50, 13], [59, 182, 24], [13, 34, 133]], * Val accuracy / confusion: 53.85% / [[142, 69, 19], [65, 86, 24], [11, 52, 52]] ------------------------------ Epoch 1804 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.692653 - Iter 024 / 025, Loss: 0.626432 * Train accuracy / confusion: 74.25% / [[289, 59, 10], [67, 174, 24], [10, 36, 131]], * Val accuracy / confusion: 59.04% / [[162, 52, 16], [67, 86, 22], [15, 41, 59]] ------------------------------ Epoch 1805 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.385911 - Iter 024 / 025, Loss: 0.536602 * Train accuracy / confusion: 78.12% / [[300, 42, 12], [60, 189, 21], [16, 24, 136]], * Val accuracy / confusion: 60.00% / [[157, 55, 18], [52, 99, 24], [13, 46, 56]] ------------------------------ Epoch 1806 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528071 - Iter 024 / 025, Loss: 0.530333 * Train accuracy / confusion: 76.00% / [[297, 46, 10], [54, 189, 28], [18, 36, 122]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [65, 91, 19], [15, 41, 59]] ------------------------------ Epoch 1807 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.559320 - Iter 024 / 025, Loss: 0.315415 * Train accuracy / confusion: 78.75% / [[312, 38, 4], [57, 189, 23], [16, 32, 129]], * Val accuracy / confusion: 59.23% / [[166, 50, 14], [62, 89, 24], [22, 40, 53]] ------------------------------ Epoch 1808 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536316 - Iter 024 / 025, Loss: 0.396970 * Train accuracy / confusion: 75.12% / [[302, 36, 17], [65, 175, 27], [15, 39, 124]], * Val accuracy / confusion: 56.54% / [[152, 64, 14], [70, 82, 23], [17, 38, 60]] ------------------------------ Epoch 1809 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.334990 - Iter 024 / 025, Loss: 0.557876 * Train accuracy / confusion: 76.12% / [[305, 41, 13], [60, 182, 26], [17, 34, 122]], * Val accuracy / confusion: 55.38% / [[146, 67, 17], [61, 88, 26], [19, 42, 54]] ------------------------------ Epoch 1810 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.494611 - Iter 024 / 025, Loss: 0.665431 * Train accuracy / confusion: 76.50% / [[299, 45, 12], [55, 184, 29], [18, 29, 129]], * Val accuracy / confusion: 58.08% / [[153, 60, 17], [68, 85, 22], [14, 37, 64]] ------------------------------ Epoch 1811 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644135 - Iter 024 / 025, Loss: 0.501620 * Train accuracy / confusion: 75.62% / [[294, 45, 15], [65, 177, 25], [12, 33, 134]], * Val accuracy / confusion: 56.73% / [[155, 54, 21], [64, 87, 24], [13, 49, 53]] ------------------------------ Epoch 1812 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.471300 - Iter 024 / 025, Loss: 0.573336 * Train accuracy / confusion: 74.25% / [[281, 56, 16], [68, 178, 26], [7, 33, 135]], * Val accuracy / confusion: 58.27% / [[164, 49, 17], [60, 89, 26], [19, 46, 50]] ------------------------------ Epoch 1813 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.469858 - Iter 024 / 025, Loss: 0.586909 * Train accuracy / confusion: 78.12% / [[306, 38, 6], [58, 187, 24], [19, 30, 132]], * Val accuracy / confusion: 54.62% / [[155, 63, 12], [72, 82, 21], [19, 49, 47]] ------------------------------ Epoch 1814 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.330905 - Iter 024 / 025, Loss: 0.440364 * Train accuracy / confusion: 77.00% / [[298, 52, 7], [62, 182, 22], [8, 33, 136]], * Val accuracy / confusion: 56.35% / [[152, 59, 19], [68, 85, 22], [16, 43, 56]] ------------------------------ Epoch 1815 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.546898 - Iter 024 / 025, Loss: 0.410007 * Train accuracy / confusion: 77.88% / [[301, 49, 9], [55, 189, 23], [18, 23, 133]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [62, 83, 30], [19, 38, 58]] ------------------------------ Epoch 1816 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.598656 - Iter 024 / 025, Loss: 0.610942 * Train accuracy / confusion: 75.62% / [[296, 49, 11], [66, 177, 24], [14, 31, 132]], * Val accuracy / confusion: 59.62% / [[159, 53, 18], [58, 93, 24], [13, 44, 58]] ------------------------------ Epoch 1817 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.585506 - Iter 024 / 025, Loss: 0.475552 * Train accuracy / confusion: 74.75% / [[296, 49, 8], [64, 177, 29], [15, 37, 125]], * Val accuracy / confusion: 57.50% / [[144, 61, 25], [54, 93, 28], [12, 41, 62]] ------------------------------ Epoch 1818 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.487979 - Iter 024 / 025, Loss: 0.525567 * Train accuracy / confusion: 78.38% / [[297, 45, 16], [62, 187, 13], [10, 27, 143]], * Val accuracy / confusion: 56.92% / [[153, 56, 21], [61, 87, 27], [16, 43, 56]] ------------------------------ Epoch 1819 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.757915 - Iter 024 / 025, Loss: 0.601916 * Train accuracy / confusion: 73.88% / [[295, 53, 8], [80, 169, 21], [17, 30, 127]], * Val accuracy / confusion: 56.15% / [[158, 56, 16], [62, 85, 28], [15, 51, 49]] ------------------------------ Epoch 1820 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.525817 - Iter 024 / 025, Loss: 0.414312 * Train accuracy / confusion: 75.25% / [[295, 54, 9], [62, 179, 25], [15, 33, 128]], * Val accuracy / confusion: 57.88% / [[154, 55, 21], [55, 93, 27], [18, 43, 54]] ------------------------------ Epoch 1821 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.491069 - Iter 024 / 025, Loss: 0.597208 * Train accuracy / confusion: 78.62% / [[298, 45, 13], [60, 190, 18], [11, 24, 141]], * Val accuracy / confusion: 57.12% / [[164, 53, 13], [74, 77, 24], [19, 40, 56]] ------------------------------ Epoch 1822 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.508724 - Iter 024 / 025, Loss: 0.556635 * Train accuracy / confusion: 77.50% / [[319, 36, 7], [66, 178, 23], [10, 38, 123]], * Val accuracy / confusion: 58.08% / [[161, 57, 12], [62, 86, 27], [17, 43, 55]] ------------------------------ Epoch 1823 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.738229 - Iter 024 / 025, Loss: 0.578488 * Train accuracy / confusion: 77.62% / [[312, 39, 5], [60, 176, 30], [14, 31, 133]], * Val accuracy / confusion: 60.38% / [[157, 60, 13], [61, 91, 23], [14, 35, 66]] ------------------------------ Epoch 1824 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.453105 - Iter 024 / 025, Loss: 0.585265 * Train accuracy / confusion: 76.25% / [[295, 42, 17], [66, 183, 20], [13, 32, 132]], * Val accuracy / confusion: 57.69% / [[156, 57, 17], [58, 89, 28], [16, 44, 55]] ------------------------------ Epoch 1825 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538712 - Iter 024 / 025, Loss: 0.528542 * Train accuracy / confusion: 75.50% / [[301, 42, 12], [68, 176, 27], [16, 31, 127]], * Val accuracy / confusion: 60.19% / [[158, 56, 16], [59, 97, 19], [19, 38, 58]] ------------------------------ Epoch 1826 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.735804 - Iter 024 / 025, Loss: 0.703540 * Train accuracy / confusion: 77.75% / [[303, 37, 14], [65, 180, 27], [12, 23, 139]], * Val accuracy / confusion: 57.88% / [[150, 65, 15], [59, 90, 26], [19, 35, 61]] ------------------------------ Epoch 1827 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.589847 - Iter 024 / 025, Loss: 0.655946 * Train accuracy / confusion: 76.00% / [[291, 50, 16], [69, 182, 18], [10, 29, 135]], * Val accuracy / confusion: 58.65% / [[154, 58, 18], [57, 94, 24], [19, 39, 57]] ------------------------------ Epoch 1828 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.527443 - Iter 024 / 025, Loss: 0.461760 * Train accuracy / confusion: 77.00% / [[310, 42, 5], [63, 182, 22], [17, 35, 124]], * Val accuracy / confusion: 57.69% / [[152, 64, 14], [67, 89, 19], [13, 43, 59]] ------------------------------ Epoch 1829 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.656922 - Iter 024 / 025, Loss: 0.442522 * Train accuracy / confusion: 76.25% / [[299, 51, 10], [69, 180, 17], [7, 36, 131]], * Val accuracy / confusion: 58.27% / [[161, 59, 10], [57, 88, 30], [19, 42, 54]] ------------------------------ Epoch 1830 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.637894 - Iter 024 / 025, Loss: 0.527866 * Train accuracy / confusion: 76.75% / [[303, 47, 7], [62, 178, 23], [11, 36, 133]], * Val accuracy / confusion: 59.04% / [[157, 55, 18], [55, 91, 29], [15, 41, 59]] ------------------------------ Epoch 1831 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.469481 - Iter 024 / 025, Loss: 0.550056 * Train accuracy / confusion: 76.62% / [[298, 51, 8], [65, 183, 19], [10, 34, 132]], * Val accuracy / confusion: 58.08% / [[163, 47, 20], [56, 87, 32], [18, 45, 52]] ------------------------------ Epoch 1832 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.550504 - Iter 024 / 025, Loss: 0.521883 * Train accuracy / confusion: 75.75% / [[301, 47, 10], [61, 179, 28], [11, 37, 126]], * Val accuracy / confusion: 57.31% / [[157, 56, 17], [59, 88, 28], [20, 42, 53]] ------------------------------ Epoch 1833 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.473960 - Iter 024 / 025, Loss: 0.369003 * Train accuracy / confusion: 75.38% / [[297, 45, 11], [69, 177, 25], [9, 38, 129]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [64, 90, 21], [20, 41, 54]] ------------------------------ Epoch 1834 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.613959 - Iter 024 / 025, Loss: 0.576606 * Train accuracy / confusion: 77.88% / [[309, 40, 7], [61, 185, 23], [6, 40, 129]], * Val accuracy / confusion: 58.46% / [[157, 57, 16], [65, 89, 21], [16, 41, 58]] ------------------------------ Epoch 1835 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.494894 - Iter 024 / 025, Loss: 0.375655 * Train accuracy / confusion: 76.38% / [[297, 44, 12], [63, 183, 23], [10, 37, 131]], * Val accuracy / confusion: 56.54% / [[148, 59, 23], [58, 90, 27], [20, 39, 56]] ------------------------------ Epoch 1836 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.683842 - Iter 024 / 025, Loss: 0.359241 * Train accuracy / confusion: 74.62% / [[293, 48, 15], [75, 172, 22], [15, 28, 132]], * Val accuracy / confusion: 54.04% / [[150, 62, 18], [78, 74, 23], [21, 37, 57]] ------------------------------ Epoch 1837 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.447866 - Iter 024 / 025, Loss: 0.486447 * Train accuracy / confusion: 75.75% / [[297, 49, 13], [58, 176, 31], [11, 32, 133]], * Val accuracy / confusion: 57.12% / [[159, 56, 15], [65, 85, 25], [17, 45, 53]] ------------------------------ Epoch 1838 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.444479 - Iter 024 / 025, Loss: 0.358811 * Train accuracy / confusion: 79.00% / [[304, 42, 7], [67, 183, 20], [7, 25, 145]], * Val accuracy / confusion: 58.08% / [[155, 57, 18], [64, 89, 22], [12, 45, 58]] ------------------------------ Epoch 1839 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.635629 - Iter 024 / 025, Loss: 0.621209 * Train accuracy / confusion: 79.00% / [[308, 40, 12], [51, 195, 22], [13, 30, 129]], * Val accuracy / confusion: 56.35% / [[154, 56, 20], [60, 84, 31], [19, 41, 55]] ------------------------------ Epoch 1840 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.668670 - Iter 024 / 025, Loss: 0.417311 * Train accuracy / confusion: 74.88% / [[296, 52, 12], [66, 169, 32], [10, 29, 134]], * Val accuracy / confusion: 58.46% / [[158, 57, 15], [56, 91, 28], [20, 40, 55]] ------------------------------ Epoch 1841 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.356361 - Iter 024 / 025, Loss: 0.815022 * Train accuracy / confusion: 76.62% / [[296, 48, 13], [55, 187, 21], [16, 34, 130]], * Val accuracy / confusion: 56.15% / [[155, 56, 19], [67, 83, 25], [24, 37, 54]] ------------------------------ Epoch 1842 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.634173 - Iter 024 / 025, Loss: 0.505578 * Train accuracy / confusion: 76.88% / [[305, 45, 8], [66, 181, 18], [15, 33, 129]], * Val accuracy / confusion: 55.96% / [[155, 65, 10], [60, 86, 29], [18, 47, 50]] ------------------------------ Epoch 1843 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.656262 - Iter 024 / 025, Loss: 0.547426 * Train accuracy / confusion: 76.12% / [[293, 43, 14], [70, 180, 20], [9, 35, 136]], * Val accuracy / confusion: 58.65% / [[151, 60, 19], [64, 90, 21], [18, 33, 64]] ------------------------------ Epoch 1844 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.586065 - Iter 024 / 025, Loss: 0.577664 * Train accuracy / confusion: 76.50% / [[306, 40, 8], [65, 180, 26], [10, 39, 126]], * Val accuracy / confusion: 57.31% / [[152, 50, 28], [56, 94, 25], [13, 50, 52]] ------------------------------ Epoch 1845 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.643745 - Iter 024 / 025, Loss: 0.603317 * Train accuracy / confusion: 76.50% / [[289, 53, 12], [66, 188, 15], [17, 25, 135]], * Val accuracy / confusion: 59.62% / [[161, 53, 16], [71, 90, 14], [20, 36, 59]] ------------------------------ Epoch 1846 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.463689 - Iter 024 / 025, Loss: 0.519920 * Train accuracy / confusion: 77.75% / [[308, 40, 9], [57, 180, 32], [10, 30, 134]], * Val accuracy / confusion: 55.19% / [[151, 69, 10], [67, 77, 31], [14, 42, 59]] ------------------------------ Epoch 1847 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.534482 - Iter 024 / 025, Loss: 0.993950 * Train accuracy / confusion: 75.50% / [[300, 49, 9], [69, 172, 23], [18, 28, 132]], * Val accuracy / confusion: 59.42% / [[160, 48, 22], [64, 86, 25], [16, 36, 63]] ------------------------------ Epoch 1848 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.663783 - Iter 024 / 025, Loss: 0.509321 * Train accuracy / confusion: 74.50% / [[290, 61, 6], [60, 182, 27], [10, 40, 124]], * Val accuracy / confusion: 57.50% / [[160, 56, 14], [64, 85, 26], [18, 43, 54]] ------------------------------ Epoch 1849 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.428264 - Iter 024 / 025, Loss: 0.739395 * Train accuracy / confusion: 75.25% / [[295, 53, 7], [65, 180, 23], [13, 37, 127]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [61, 89, 25], [13, 46, 56]] ------------------------------ Epoch 1850 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.771123 - Iter 024 / 025, Loss: 0.452852 * Train accuracy / confusion: 76.38% / [[299, 41, 17], [63, 182, 21], [14, 33, 130]], * Val accuracy / confusion: 60.00% / [[162, 56, 12], [66, 85, 24], [18, 32, 65]] ------------------------------ Epoch 1851 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.396800 - Iter 024 / 025, Loss: 0.570067 * Train accuracy / confusion: 78.75% / [[312, 41, 4], [48, 190, 29], [13, 35, 128]], * Val accuracy / confusion: 55.96% / [[160, 51, 19], [64, 80, 31], [14, 50, 51]] ------------------------------ Epoch 1852 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.556987 - Iter 024 / 025, Loss: 0.626319 * Train accuracy / confusion: 75.12% / [[295, 52, 10], [70, 174, 25], [7, 35, 132]], * Val accuracy / confusion: 59.23% / [[159, 55, 16], [57, 95, 23], [20, 41, 54]] ------------------------------ Epoch 1853 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.531206 - Iter 024 / 025, Loss: 0.494153 * Train accuracy / confusion: 75.38% / [[306, 43, 4], [73, 166, 32], [17, 28, 131]], * Val accuracy / confusion: 59.23% / [[154, 52, 24], [52, 104, 19], [23, 42, 50]] ------------------------------ Epoch 1854 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.679751 - Iter 024 / 025, Loss: 0.837924 * Train accuracy / confusion: 77.38% / [[292, 48, 12], [55, 194, 20], [19, 27, 133]], * Val accuracy / confusion: 59.04% / [[158, 57, 15], [58, 98, 19], [21, 43, 51]] ------------------------------ Epoch 1855 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.474717 - Iter 024 / 025, Loss: 0.645695 * Train accuracy / confusion: 76.75% / [[301, 42, 12], [54, 187, 27], [21, 30, 126]], * Val accuracy / confusion: 57.88% / [[155, 55, 20], [65, 88, 22], [20, 37, 58]] ------------------------------ Epoch 1856 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.547471 - Iter 024 / 025, Loss: 0.397077 * Train accuracy / confusion: 76.50% / [[305, 43, 10], [64, 183, 19], [15, 37, 124]], * Val accuracy / confusion: 57.69% / [[152, 60, 18], [59, 84, 32], [17, 34, 64]] ------------------------------ Epoch 1857 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.617141 - Iter 024 / 025, Loss: 0.426184 * Train accuracy / confusion: 76.12% / [[296, 54, 9], [61, 187, 20], [17, 30, 126]], * Val accuracy / confusion: 58.46% / [[158, 58, 14], [64, 86, 25], [22, 33, 60]] ------------------------------ Epoch 1858 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.521853 - Iter 024 / 025, Loss: 0.573891 * Train accuracy / confusion: 78.00% / [[299, 48, 9], [59, 190, 19], [10, 31, 135]], * Val accuracy / confusion: 57.69% / [[160, 56, 14], [67, 84, 24], [19, 40, 56]] ------------------------------ Epoch 1859 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.465363 - Iter 024 / 025, Loss: 0.558631 * Train accuracy / confusion: 78.12% / [[306, 43, 9], [56, 184, 25], [9, 33, 135]], * Val accuracy / confusion: 56.35% / [[148, 65, 17], [54, 92, 29], [18, 44, 53]] ------------------------------ Epoch 1860 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.742212 - Iter 024 / 025, Loss: 0.508796 * Train accuracy / confusion: 75.38% / [[290, 55, 14], [65, 184, 20], [14, 29, 129]], * Val accuracy / confusion: 56.15% / [[148, 62, 20], [65, 91, 19], [20, 42, 53]] ------------------------------ Epoch 1861 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.364401 - Iter 024 / 025, Loss: 0.610773 * Train accuracy / confusion: 75.75% / [[294, 43, 17], [72, 185, 14], [16, 32, 127]], * Val accuracy / confusion: 58.08% / [[170, 55, 5], [71, 80, 24], [19, 44, 52]] ------------------------------ Epoch 1862 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.575832 - Iter 024 / 025, Loss: 0.638237 * Train accuracy / confusion: 78.75% / [[307, 38, 9], [57, 192, 19], [13, 34, 131]], * Val accuracy / confusion: 58.27% / [[162, 49, 19], [61, 86, 28], [18, 42, 55]] ------------------------------ Epoch 1863 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.459467 - Iter 024 / 025, Loss: 0.420925 * Train accuracy / confusion: 76.88% / [[301, 43, 11], [67, 177, 24], [10, 30, 137]], * Val accuracy / confusion: 56.15% / [[150, 62, 18], [62, 88, 25], [19, 42, 54]] ------------------------------ Epoch 1864 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.558675 - Iter 024 / 025, Loss: 0.291888 * Train accuracy / confusion: 78.25% / [[303, 41, 12], [60, 183, 24], [13, 24, 140]], * Val accuracy / confusion: 57.69% / [[154, 58, 18], [64, 90, 21], [14, 45, 56]] ------------------------------ Epoch 1865 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.533948 - Iter 024 / 025, Loss: 0.548072 * Train accuracy / confusion: 77.75% / [[296, 50, 12], [61, 187, 17], [12, 26, 139]], * Val accuracy / confusion: 60.58% / [[169, 52, 9], [60, 88, 27], [18, 39, 58]] ------------------------------ Epoch 1866 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644777 - Iter 024 / 025, Loss: 0.658654 * Train accuracy / confusion: 75.25% / [[298, 51, 6], [66, 176, 28], [17, 30, 128]], * Val accuracy / confusion: 57.69% / [[159, 50, 21], [62, 86, 27], [18, 42, 55]] ------------------------------ Epoch 1867 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.393434 - Iter 024 / 025, Loss: 0.549502 * Train accuracy / confusion: 78.75% / [[303, 41, 10], [62, 188, 18], [12, 27, 139]], * Val accuracy / confusion: 57.31% / [[156, 55, 19], [64, 88, 23], [17, 44, 54]] ------------------------------ Epoch 1868 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.715892 - Iter 024 / 025, Loss: 0.682664 * Train accuracy / confusion: 74.25% / [[297, 47, 13], [69, 173, 28], [12, 37, 124]], * Val accuracy / confusion: 59.23% / [[159, 55, 16], [65, 87, 23], [20, 33, 62]] ------------------------------ Epoch 1869 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.789006 - Iter 024 / 025, Loss: 0.456409 * Train accuracy / confusion: 76.75% / [[303, 40, 14], [61, 184, 23], [15, 33, 127]], * Val accuracy / confusion: 59.81% / [[160, 55, 15], [63, 90, 22], [16, 38, 61]] ------------------------------ Epoch 1870 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.478673 - Iter 024 / 025, Loss: 0.540544 * Train accuracy / confusion: 76.12% / [[301, 48, 8], [59, 183, 25], [16, 35, 125]], * Val accuracy / confusion: 56.92% / [[158, 55, 17], [62, 86, 27], [17, 46, 52]] ------------------------------ Epoch 1871 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573405 - Iter 024 / 025, Loss: 0.682767 * Train accuracy / confusion: 76.75% / [[294, 54, 10], [59, 189, 22], [16, 25, 131]], * Val accuracy / confusion: 56.54% / [[160, 56, 14], [64, 77, 34], [14, 44, 57]] ------------------------------ Epoch 1872 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.665936 - Iter 024 / 025, Loss: 0.499016 * Train accuracy / confusion: 76.00% / [[309, 46, 9], [65, 176, 24], [13, 35, 123]], * Val accuracy / confusion: 57.12% / [[155, 55, 20], [63, 86, 26], [16, 43, 56]] ------------------------------ Epoch 1873 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.555334 - Iter 024 / 025, Loss: 0.727716 * Train accuracy / confusion: 79.75% / [[313, 38, 7], [59, 179, 28], [6, 24, 146]], * Val accuracy / confusion: 57.69% / [[155, 57, 18], [55, 89, 31], [17, 42, 56]] ------------------------------ Epoch 1874 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.470509 - Iter 024 / 025, Loss: 0.493710 * Train accuracy / confusion: 77.00% / [[296, 46, 13], [58, 187, 22], [15, 30, 133]], * Val accuracy / confusion: 56.92% / [[152, 60, 18], [59, 94, 22], [16, 49, 50]] ------------------------------ Epoch 1875 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.606833 - Iter 024 / 025, Loss: 0.825011 * Train accuracy / confusion: 76.50% / [[297, 46, 11], [70, 177, 21], [11, 29, 138]], * Val accuracy / confusion: 59.81% / [[169, 49, 12], [59, 93, 23], [17, 49, 49]] ------------------------------ Epoch 1876 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.651901 - Iter 024 / 025, Loss: 0.561647 * Train accuracy / confusion: 75.75% / [[292, 48, 12], [61, 185, 24], [14, 35, 129]], * Val accuracy / confusion: 60.58% / [[159, 58, 13], [56, 101, 18], [20, 40, 55]] ------------------------------ Epoch 1877 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.576487 - Iter 024 / 025, Loss: 0.618564 * Train accuracy / confusion: 76.50% / [[301, 43, 9], [58, 182, 26], [14, 38, 129]], * Val accuracy / confusion: 62.12% / [[159, 57, 14], [57, 102, 16], [22, 31, 62]] ------------------------------ Epoch 1878 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.545566 - Iter 024 / 025, Loss: 0.906414 * Train accuracy / confusion: 74.62% / [[291, 56, 12], [69, 172, 26], [13, 27, 134]], * Val accuracy / confusion: 56.73% / [[154, 59, 17], [60, 90, 25], [17, 47, 51]] ------------------------------ Epoch 1879 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.537504 - Iter 024 / 025, Loss: 0.558309 * Train accuracy / confusion: 78.00% / [[307, 40, 11], [57, 183, 25], [15, 28, 134]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [69, 81, 25], [17, 41, 57]] ------------------------------ Epoch 1880 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.823116 - Iter 024 / 025, Loss: 0.567383 * Train accuracy / confusion: 74.88% / [[297, 52, 7], [72, 174, 19], [13, 38, 128]], * Val accuracy / confusion: 57.31% / [[159, 56, 15], [70, 84, 21], [18, 42, 55]] ------------------------------ Epoch 1881 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.398125 - Iter 024 / 025, Loss: 0.531019 * Train accuracy / confusion: 76.38% / [[299, 48, 8], [65, 182, 21], [13, 34, 130]], * Val accuracy / confusion: 55.96% / [[151, 68, 11], [67, 90, 18], [18, 47, 50]] ------------------------------ Epoch 1882 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.600325 - Iter 024 / 025, Loss: 0.658078 * Train accuracy / confusion: 76.12% / [[295, 50, 7], [68, 179, 24], [7, 35, 135]], * Val accuracy / confusion: 57.50% / [[156, 58, 16], [61, 88, 26], [21, 39, 55]] ------------------------------ Epoch 1883 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.525509 - Iter 024 / 025, Loss: 0.440540 * Train accuracy / confusion: 78.50% / [[302, 48, 7], [51, 187, 27], [15, 24, 139]], * Val accuracy / confusion: 58.85% / [[162, 57, 11], [67, 86, 22], [19, 38, 58]] ------------------------------ Epoch 1884 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.477843 - Iter 024 / 025, Loss: 0.494044 * Train accuracy / confusion: 77.00% / [[295, 51, 11], [56, 185, 24], [15, 27, 136]], * Val accuracy / confusion: 58.27% / [[155, 57, 18], [57, 95, 23], [17, 45, 53]] ------------------------------ Epoch 1885 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.589050 - Iter 024 / 025, Loss: 0.661333 * Train accuracy / confusion: 76.62% / [[300, 45, 13], [60, 180, 23], [12, 34, 133]], * Val accuracy / confusion: 56.15% / [[164, 49, 17], [67, 78, 30], [16, 49, 50]] ------------------------------ Epoch 1886 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.607475 - Iter 024 / 025, Loss: 0.416858 * Train accuracy / confusion: 75.75% / [[296, 42, 14], [59, 188, 24], [16, 39, 122]], * Val accuracy / confusion: 56.73% / [[150, 66, 14], [60, 90, 25], [19, 41, 55]] ------------------------------ Epoch 1887 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.549618 - Iter 024 / 025, Loss: 0.485344 * Train accuracy / confusion: 74.25% / [[291, 54, 14], [66, 177, 24], [13, 35, 126]], * Val accuracy / confusion: 56.35% / [[155, 56, 19], [67, 83, 25], [22, 38, 55]] ------------------------------ Epoch 1888 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573809 - Iter 024 / 025, Loss: 0.391517 * Train accuracy / confusion: 76.12% / [[309, 44, 6], [67, 171, 30], [7, 37, 129]], * Val accuracy / confusion: 57.12% / [[148, 64, 18], [62, 88, 25], [18, 36, 61]] ------------------------------ Epoch 1889 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.534550 - Iter 024 / 025, Loss: 0.544511 * Train accuracy / confusion: 75.88% / [[290, 53, 16], [56, 188, 24], [14, 30, 129]], * Val accuracy / confusion: 59.42% / [[167, 49, 14], [67, 79, 29], [17, 35, 63]] ------------------------------ Epoch 1890 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.455399 - Iter 024 / 025, Loss: 0.365929 * Train accuracy / confusion: 78.75% / [[299, 47, 7], [58, 192, 25], [12, 21, 139]], * Val accuracy / confusion: 56.54% / [[158, 54, 18], [69, 80, 26], [18, 41, 56]] ------------------------------ Epoch 1891 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.505032 - Iter 024 / 025, Loss: 0.668568 * Train accuracy / confusion: 77.12% / [[302, 46, 8], [67, 179, 22], [14, 26, 136]], * Val accuracy / confusion: 57.12% / [[166, 50, 14], [68, 84, 23], [19, 49, 47]] ------------------------------ Epoch 1892 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.629358 - Iter 024 / 025, Loss: 0.493713 * Train accuracy / confusion: 78.00% / [[305, 49, 6], [61, 183, 21], [15, 24, 136]], * Val accuracy / confusion: 57.69% / [[165, 54, 11], [64, 83, 28], [19, 44, 52]] ------------------------------ Epoch 1893 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.377750 - Iter 024 / 025, Loss: 0.381003 * Train accuracy / confusion: 77.25% / [[292, 51, 11], [65, 189, 15], [19, 21, 137]], * Val accuracy / confusion: 56.35% / [[155, 56, 19], [68, 88, 19], [14, 51, 50]] ------------------------------ Epoch 1894 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.672725 - Iter 024 / 025, Loss: 0.754015 * Train accuracy / confusion: 75.75% / [[297, 47, 17], [60, 180, 22], [6, 42, 129]], * Val accuracy / confusion: 57.50% / [[155, 64, 11], [62, 92, 21], [15, 48, 52]] ------------------------------ Epoch 1895 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.417852 - Iter 024 / 025, Loss: 0.506044 * Train accuracy / confusion: 74.25% / [[286, 60, 11], [65, 177, 27], [15, 28, 131]], * Val accuracy / confusion: 53.65% / [[149, 61, 20], [69, 81, 25], [18, 48, 49]] ------------------------------ Epoch 1896 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.464381 - Iter 024 / 025, Loss: 0.534487 * Train accuracy / confusion: 76.38% / [[297, 46, 11], [85, 172, 9], [13, 25, 142]], * Val accuracy / confusion: 59.62% / [[167, 46, 17], [66, 81, 28], [19, 34, 62]] ------------------------------ Epoch 1897 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.440091 - Iter 024 / 025, Loss: 0.503447 * Train accuracy / confusion: 78.88% / [[305, 43, 10], [66, 185, 17], [6, 27, 141]], * Val accuracy / confusion: 57.31% / [[162, 54, 14], [70, 85, 20], [18, 46, 51]] ------------------------------ Epoch 1898 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.456412 - Iter 024 / 025, Loss: 0.371057 * Train accuracy / confusion: 76.75% / [[303, 48, 7], [56, 182, 28], [11, 36, 129]], * Val accuracy / confusion: 58.08% / [[168, 49, 13], [67, 77, 31], [21, 37, 57]] ------------------------------ Epoch 1899 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644337 - Iter 024 / 025, Loss: 0.742006 * Train accuracy / confusion: 75.75% / [[286, 56, 12], [66, 184, 19], [14, 27, 136]], * Val accuracy / confusion: 57.69% / [[160, 58, 12], [62, 89, 24], [19, 45, 51]] ------------------------------ Epoch 1900 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.411633 - Iter 024 / 025, Loss: 0.584197 * Train accuracy / confusion: 76.25% / [[290, 59, 9], [61, 183, 22], [12, 27, 137]], * Val accuracy / confusion: 57.69% / [[152, 59, 19], [51, 90, 34], [17, 40, 58]] ------------------------------ Epoch 1901 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.591509 - Iter 024 / 025, Loss: 0.614912 * Train accuracy / confusion: 76.12% / [[302, 45, 11], [61, 182, 27], [12, 35, 125]], * Val accuracy / confusion: 55.00% / [[150, 68, 12], [61, 94, 20], [15, 58, 42]] ------------------------------ Epoch 1902 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.434440 - Iter 024 / 025, Loss: 0.668226 * Train accuracy / confusion: 75.88% / [[303, 40, 14], [65, 172, 30], [12, 32, 132]], * Val accuracy / confusion: 56.92% / [[155, 53, 22], [58, 88, 29], [16, 46, 53]] ------------------------------ Epoch 1903 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.671776 - Iter 024 / 025, Loss: 0.607053 * Train accuracy / confusion: 76.62% / [[296, 47, 15], [59, 182, 27], [10, 29, 135]], * Val accuracy / confusion: 57.31% / [[157, 65, 8], [57, 88, 30], [17, 45, 53]] ------------------------------ Epoch 1904 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.701879 - Iter 024 / 025, Loss: 0.612273 * Train accuracy / confusion: 76.25% / [[294, 51, 11], [62, 182, 24], [14, 28, 134]], * Val accuracy / confusion: 59.04% / [[152, 67, 11], [47, 100, 28], [20, 40, 55]] ------------------------------ Epoch 1905 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.495742 - Iter 024 / 025, Loss: 0.711115 * Train accuracy / confusion: 76.38% / [[292, 52, 9], [66, 176, 25], [15, 22, 143]], * Val accuracy / confusion: 58.85% / [[152, 62, 16], [61, 93, 21], [14, 40, 61]] ------------------------------ Epoch 1906 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.730549 - Iter 024 / 025, Loss: 0.577060 * Train accuracy / confusion: 77.50% / [[299, 50, 5], [61, 184, 22], [15, 27, 137]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [62, 91, 22], [17, 46, 52]] ------------------------------ Epoch 1907 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.653054 - Iter 024 / 025, Loss: 0.606577 * Train accuracy / confusion: 73.12% / [[296, 50, 12], [74, 167, 28], [16, 35, 122]], * Val accuracy / confusion: 55.19% / [[155, 56, 19], [64, 74, 37], [18, 39, 58]] ------------------------------ Epoch 1908 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.518476 - Iter 024 / 025, Loss: 0.509724 * Train accuracy / confusion: 75.88% / [[308, 41, 11], [62, 174, 28], [21, 30, 125]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [72, 82, 21], [12, 51, 52]] ------------------------------ Epoch 1909 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528198 - Iter 024 / 025, Loss: 0.445746 * Train accuracy / confusion: 73.75% / [[287, 52, 16], [66, 177, 23], [18, 35, 126]], * Val accuracy / confusion: 57.69% / [[155, 53, 22], [62, 89, 24], [18, 41, 56]] ------------------------------ Epoch 1910 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.537969 - Iter 024 / 025, Loss: 0.269373 * Train accuracy / confusion: 77.12% / [[291, 61, 8], [50, 192, 23], [9, 32, 134]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [66, 83, 26], [12, 48, 55]] ------------------------------ Epoch 1911 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.632970 - Iter 024 / 025, Loss: 0.816005 * Train accuracy / confusion: 75.00% / [[298, 46, 10], [64, 174, 28], [17, 35, 128]], * Val accuracy / confusion: 58.08% / [[163, 53, 14], [67, 83, 25], [19, 40, 56]] ------------------------------ Epoch 1912 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.475029 - Iter 024 / 025, Loss: 0.567422 * Train accuracy / confusion: 75.38% / [[299, 43, 15], [68, 179, 23], [13, 35, 125]], * Val accuracy / confusion: 60.19% / [[163, 54, 13], [62, 85, 28], [18, 32, 65]] ------------------------------ Epoch 1913 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.435250 - Iter 024 / 025, Loss: 0.553450 * Train accuracy / confusion: 78.88% / [[306, 41, 12], [55, 193, 20], [12, 29, 132]], * Val accuracy / confusion: 55.38% / [[161, 53, 16], [74, 67, 34], [16, 39, 60]] ------------------------------ Epoch 1914 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.458094 - Iter 024 / 025, Loss: 0.640283 * Train accuracy / confusion: 78.75% / [[301, 52, 6], [57, 191, 21], [9, 25, 138]], * Val accuracy / confusion: 56.92% / [[151, 59, 20], [64, 87, 24], [16, 41, 58]] ------------------------------ Epoch 1915 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.492914 - Iter 024 / 025, Loss: 0.509603 * Train accuracy / confusion: 78.75% / [[310, 43, 6], [52, 185, 28], [17, 24, 135]], * Val accuracy / confusion: 61.92% / [[166, 43, 21], [54, 93, 28], [16, 36, 63]] ------------------------------ Epoch 1916 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.625145 - Iter 024 / 025, Loss: 0.452538 * Train accuracy / confusion: 76.25% / [[296, 48, 9], [64, 174, 32], [14, 23, 140]], * Val accuracy / confusion: 57.31% / [[155, 61, 14], [65, 87, 23], [19, 40, 56]] ------------------------------ Epoch 1917 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489779 - Iter 024 / 025, Loss: 0.545568 * Train accuracy / confusion: 76.75% / [[297, 48, 14], [55, 183, 26], [13, 30, 134]], * Val accuracy / confusion: 58.46% / [[155, 51, 24], [55, 88, 32], [14, 40, 61]] ------------------------------ Epoch 1918 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.491664 - Iter 024 / 025, Loss: 0.731812 * Train accuracy / confusion: 77.12% / [[287, 55, 9], [56, 197, 17], [12, 34, 133]], * Val accuracy / confusion: 55.58% / [[155, 63, 12], [69, 75, 31], [16, 40, 59]] ------------------------------ Epoch 1919 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.477236 - Iter 024 / 025, Loss: 0.701256 * Train accuracy / confusion: 75.50% / [[305, 43, 5], [81, 165, 23], [12, 32, 134]], * Val accuracy / confusion: 59.04% / [[148, 63, 19], [58, 96, 21], [16, 36, 63]] ------------------------------ Epoch 1920 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.447100 - Iter 024 / 025, Loss: 0.542242 * Train accuracy / confusion: 75.25% / [[303, 45, 9], [66, 172, 31], [8, 39, 127]], * Val accuracy / confusion: 60.77% / [[170, 50, 10], [72, 90, 13], [13, 46, 56]] ------------------------------ Epoch 1921 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.412710 - Iter 024 / 025, Loss: 0.655405 * Train accuracy / confusion: 75.62% / [[296, 51, 9], [70, 173, 27], [15, 23, 136]], * Val accuracy / confusion: 59.23% / [[161, 52, 17], [59, 87, 29], [23, 32, 60]] ------------------------------ Epoch 1922 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.629528 - Iter 024 / 025, Loss: 0.505827 * Train accuracy / confusion: 78.12% / [[306, 41, 10], [57, 188, 24], [9, 34, 131]], * Val accuracy / confusion: 56.35% / [[143, 64, 23], [63, 93, 19], [12, 46, 57]] ------------------------------ Epoch 1923 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.661393 - Iter 024 / 025, Loss: 0.571553 * Train accuracy / confusion: 76.12% / [[295, 46, 15], [60, 182, 29], [12, 29, 132]], * Val accuracy / confusion: 56.73% / [[168, 51, 11], [63, 81, 31], [20, 49, 46]] ------------------------------ Epoch 1924 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.488009 - Iter 024 / 025, Loss: 0.523370 * Train accuracy / confusion: 77.38% / [[298, 51, 6], [59, 179, 28], [9, 28, 142]], * Val accuracy / confusion: 59.62% / [[160, 55, 15], [61, 92, 22], [18, 39, 58]] ------------------------------ Epoch 1925 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.445243 - Iter 024 / 025, Loss: 0.536520 * Train accuracy / confusion: 75.88% / [[299, 46, 15], [67, 173, 24], [12, 29, 135]], * Val accuracy / confusion: 57.12% / [[157, 55, 18], [69, 78, 28], [12, 41, 62]] ------------------------------ Epoch 1926 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.472112 - Iter 024 / 025, Loss: 0.670235 * Train accuracy / confusion: 76.50% / [[292, 53, 10], [58, 191, 19], [16, 32, 129]], * Val accuracy / confusion: 58.65% / [[162, 50, 18], [66, 87, 22], [18, 41, 56]] ------------------------------ Epoch 1927 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.496048 - Iter 024 / 025, Loss: 0.540030 * Train accuracy / confusion: 76.00% / [[298, 57, 6], [55, 182, 26], [10, 38, 128]], * Val accuracy / confusion: 57.88% / [[153, 61, 16], [61, 92, 22], [19, 40, 56]] ------------------------------ Epoch 1928 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.867065 - Iter 024 / 025, Loss: 0.460547 * Train accuracy / confusion: 78.38% / [[301, 41, 9], [60, 185, 24], [9, 30, 141]], * Val accuracy / confusion: 54.81% / [[148, 60, 22], [70, 79, 26], [14, 43, 58]] ------------------------------ Epoch 1929 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.445814 - Iter 024 / 025, Loss: 0.379399 * Train accuracy / confusion: 77.88% / [[303, 42, 7], [76, 174, 18], [9, 25, 146]], * Val accuracy / confusion: 57.12% / [[160, 53, 17], [72, 80, 23], [19, 39, 57]] ------------------------------ Epoch 1930 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.518932 - Iter 024 / 025, Loss: 0.870989 * Train accuracy / confusion: 75.00% / [[292, 52, 10], [63, 181, 26], [13, 36, 127]], * Val accuracy / confusion: 56.35% / [[156, 59, 15], [67, 84, 24], [18, 44, 53]] ------------------------------ Epoch 1931 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513519 - Iter 024 / 025, Loss: 0.337195 * Train accuracy / confusion: 76.62% / [[304, 46, 8], [73, 176, 19], [17, 24, 133]], * Val accuracy / confusion: 57.31% / [[161, 52, 17], [61, 89, 25], [24, 43, 48]] ------------------------------ Epoch 1932 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573347 - Iter 024 / 025, Loss: 0.616440 * Train accuracy / confusion: 77.38% / [[303, 45, 11], [60, 179, 27], [12, 26, 137]], * Val accuracy / confusion: 57.12% / [[151, 62, 17], [59, 91, 25], [20, 40, 55]] ------------------------------ Epoch 1933 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.524764 - Iter 024 / 025, Loss: 0.461098 * Train accuracy / confusion: 74.38% / [[299, 48, 9], [72, 166, 30], [11, 35, 130]], * Val accuracy / confusion: 59.62% / [[158, 60, 12], [61, 94, 20], [11, 46, 58]] ------------------------------ Epoch 1934 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.396195 - Iter 024 / 025, Loss: 0.725244 * Train accuracy / confusion: 75.50% / [[292, 49, 13], [66, 179, 22], [9, 37, 133]], * Val accuracy / confusion: 55.58% / [[144, 67, 19], [70, 89, 16], [16, 43, 56]] ------------------------------ Epoch 1935 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.619192 - Iter 024 / 025, Loss: 0.599424 * Train accuracy / confusion: 78.75% / [[300, 41, 12], [56, 193, 21], [12, 28, 137]], * Val accuracy / confusion: 59.81% / [[163, 55, 12], [69, 91, 15], [17, 41, 57]] ------------------------------ Epoch 1936 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.730520 - Iter 024 / 025, Loss: 0.387930 * Train accuracy / confusion: 79.00% / [[304, 37, 14], [61, 188, 19], [10, 27, 140]], * Val accuracy / confusion: 57.12% / [[152, 54, 24], [60, 91, 24], [18, 43, 54]] ------------------------------ Epoch 1937 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.386185 - Iter 024 / 025, Loss: 0.526775 * Train accuracy / confusion: 79.25% / [[302, 42, 9], [61, 189, 20], [11, 23, 143]], * Val accuracy / confusion: 59.81% / [[158, 56, 16], [57, 95, 23], [18, 39, 58]] ------------------------------ Epoch 1938 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.608274 - Iter 024 / 025, Loss: 0.703299 * Train accuracy / confusion: 76.12% / [[291, 49, 13], [61, 184, 26], [14, 28, 134]], * Val accuracy / confusion: 58.85% / [[163, 47, 20], [63, 91, 21], [13, 50, 52]] ------------------------------ Epoch 1939 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.593255 - Iter 024 / 025, Loss: 0.694198 * Train accuracy / confusion: 79.75% / [[308, 43, 4], [54, 190, 24], [8, 29, 140]], * Val accuracy / confusion: 58.27% / [[168, 51, 11], [67, 84, 24], [19, 45, 51]] ------------------------------ Epoch 1940 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.664104 - Iter 024 / 025, Loss: 0.579093 * Train accuracy / confusion: 75.38% / [[300, 46, 10], [69, 173, 22], [21, 29, 130]], * Val accuracy / confusion: 55.77% / [[149, 69, 12], [64, 91, 20], [17, 48, 50]] ------------------------------ Epoch 1941 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.726403 - Iter 024 / 025, Loss: 0.516324 * Train accuracy / confusion: 76.00% / [[298, 47, 10], [62, 182, 25], [15, 33, 128]], * Val accuracy / confusion: 57.12% / [[161, 54, 15], [62, 88, 25], [14, 53, 48]] ------------------------------ Epoch 1942 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.527742 - Iter 024 / 025, Loss: 0.553981 * Train accuracy / confusion: 77.38% / [[292, 46, 13], [56, 189, 24], [9, 33, 138]], * Val accuracy / confusion: 57.31% / [[155, 56, 19], [65, 86, 24], [15, 43, 57]] ------------------------------ Epoch 1943 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489243 - Iter 024 / 025, Loss: 0.636721 * Train accuracy / confusion: 74.75% / [[291, 52, 10], [68, 176, 26], [10, 36, 131]], * Val accuracy / confusion: 57.50% / [[156, 52, 22], [64, 84, 27], [16, 40, 59]] ------------------------------ Epoch 1944 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.720736 - Iter 024 / 025, Loss: 0.534510 * Train accuracy / confusion: 78.62% / [[298, 45, 11], [52, 197, 19], [12, 32, 134]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [59, 87, 29], [16, 41, 58]] ------------------------------ Epoch 1945 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.542529 - Iter 024 / 025, Loss: 0.562607 * Train accuracy / confusion: 77.75% / [[309, 39, 10], [56, 187, 21], [15, 37, 126]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [60, 92, 23], [16, 45, 54]] ------------------------------ Epoch 1946 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.722363 - Iter 024 / 025, Loss: 0.612378 * Train accuracy / confusion: 74.50% / [[294, 50, 10], [61, 178, 35], [12, 36, 124]], * Val accuracy / confusion: 56.92% / [[148, 61, 21], [66, 90, 19], [21, 36, 58]] ------------------------------ Epoch 1947 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489399 - Iter 024 / 025, Loss: 0.428478 * Train accuracy / confusion: 77.38% / [[298, 53, 7], [60, 186, 20], [16, 25, 135]], * Val accuracy / confusion: 62.50% / [[174, 45, 11], [62, 100, 13], [18, 46, 51]] ------------------------------ Epoch 1948 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.516432 - Iter 024 / 025, Loss: 0.517226 * Train accuracy / confusion: 76.00% / [[306, 41, 9], [66, 176, 28], [10, 38, 126]], * Val accuracy / confusion: 56.92% / [[159, 54, 17], [55, 82, 38], [16, 44, 55]] ------------------------------ Epoch 1949 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.579001 - Iter 024 / 025, Loss: 0.414797 * Train accuracy / confusion: 77.62% / [[295, 44, 12], [66, 185, 17], [15, 25, 141]], * Val accuracy / confusion: 57.12% / [[155, 57, 18], [61, 89, 25], [18, 44, 53]] ------------------------------ Epoch 1950 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.500801 - Iter 024 / 025, Loss: 0.479552 * Train accuracy / confusion: 78.75% / [[306, 40, 10], [58, 185, 24], [12, 26, 139]], * Val accuracy / confusion: 56.73% / [[149, 64, 17], [65, 89, 21], [17, 41, 57]] ------------------------------ Epoch 1951 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.312698 - Iter 024 / 025, Loss: 0.533240 * Train accuracy / confusion: 77.38% / [[294, 54, 5], [61, 189, 22], [10, 29, 136]], * Val accuracy / confusion: 59.04% / [[156, 57, 17], [68, 90, 17], [19, 35, 61]] ------------------------------ Epoch 1952 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.748837 - Iter 024 / 025, Loss: 0.509725 * Train accuracy / confusion: 77.62% / [[298, 48, 11], [53, 195, 23], [12, 32, 128]], * Val accuracy / confusion: 58.08% / [[158, 56, 16], [64, 89, 22], [13, 47, 55]] ------------------------------ Epoch 1953 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.544397 - Iter 024 / 025, Loss: 0.701793 * Train accuracy / confusion: 78.00% / [[294, 55, 13], [46, 196, 20], [12, 30, 134]], * Val accuracy / confusion: 55.38% / [[146, 64, 20], [57, 87, 31], [15, 45, 55]] ------------------------------ Epoch 1954 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.499660 - Iter 024 / 025, Loss: 0.782549 * Train accuracy / confusion: 76.62% / [[293, 52, 8], [56, 186, 28], [12, 31, 134]], * Val accuracy / confusion: 58.65% / [[157, 54, 19], [65, 91, 19], [19, 39, 57]] ------------------------------ Epoch 1955 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.498789 - Iter 024 / 025, Loss: 0.554036 * Train accuracy / confusion: 77.38% / [[309, 45, 5], [61, 179, 26], [12, 32, 131]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [66, 85, 24], [14, 41, 60]] ------------------------------ Epoch 1956 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536076 - Iter 024 / 025, Loss: 0.547306 * Train accuracy / confusion: 78.50% / [[298, 45, 9], [52, 193, 23], [12, 31, 137]], * Val accuracy / confusion: 57.50% / [[164, 49, 17], [72, 76, 27], [19, 37, 59]] ------------------------------ Epoch 1957 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.669723 - Iter 024 / 025, Loss: 0.764775 * Train accuracy / confusion: 77.62% / [[306, 50, 6], [54, 187, 25], [14, 30, 128]], * Val accuracy / confusion: 55.96% / [[151, 56, 23], [65, 90, 20], [25, 40, 50]] ------------------------------ Epoch 1958 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513651 - Iter 024 / 025, Loss: 0.718038 * Train accuracy / confusion: 75.62% / [[292, 57, 9], [64, 180, 20], [11, 34, 133]], * Val accuracy / confusion: 58.65% / [[160, 55, 15], [61, 91, 23], [19, 42, 54]] ------------------------------ Epoch 1959 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.519308 - Iter 024 / 025, Loss: 0.670273 * Train accuracy / confusion: 76.50% / [[304, 44, 8], [65, 179, 25], [11, 35, 129]], * Val accuracy / confusion: 57.31% / [[153, 62, 15], [61, 86, 28], [20, 36, 59]] ------------------------------ Epoch 1960 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528976 - Iter 024 / 025, Loss: 0.360708 * Train accuracy / confusion: 75.75% / [[296, 50, 12], [61, 178, 29], [13, 29, 132]], * Val accuracy / confusion: 56.15% / [[149, 65, 16], [68, 83, 24], [17, 38, 60]] ------------------------------ Epoch 1961 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.481005 - Iter 024 / 025, Loss: 0.597444 * Train accuracy / confusion: 77.75% / [[305, 39, 13], [62, 183, 25], [9, 30, 134]], * Val accuracy / confusion: 59.04% / [[157, 56, 17], [55, 97, 23], [17, 45, 53]] ------------------------------ Epoch 1962 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.577801 - Iter 024 / 025, Loss: 0.652722 * Train accuracy / confusion: 76.25% / [[296, 49, 11], [57, 187, 23], [16, 34, 127]], * Val accuracy / confusion: 59.42% / [[159, 59, 12], [59, 93, 23], [16, 42, 57]] ------------------------------ Epoch 1963 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.739696 - Iter 024 / 025, Loss: 0.342851 * Train accuracy / confusion: 75.88% / [[290, 49, 12], [65, 185, 19], [11, 37, 132]], * Val accuracy / confusion: 55.38% / [[151, 64, 15], [62, 86, 27], [21, 43, 51]] ------------------------------ Epoch 1964 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.467512 - Iter 024 / 025, Loss: 0.432662 * Train accuracy / confusion: 78.88% / [[309, 38, 6], [60, 182, 26], [13, 26, 140]], * Val accuracy / confusion: 58.65% / [[158, 57, 15], [63, 92, 20], [20, 40, 55]] ------------------------------ Epoch 1965 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.478965 - Iter 024 / 025, Loss: 0.618341 * Train accuracy / confusion: 76.88% / [[300, 50, 6], [49, 190, 29], [21, 30, 125]], * Val accuracy / confusion: 55.77% / [[147, 70, 13], [60, 87, 28], [16, 43, 56]] ------------------------------ Epoch 1966 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.544057 - Iter 024 / 025, Loss: 0.567436 * Train accuracy / confusion: 77.62% / [[298, 51, 11], [67, 182, 16], [8, 26, 141]], * Val accuracy / confusion: 55.96% / [[151, 62, 17], [60, 87, 28], [18, 44, 53]] ------------------------------ Epoch 1967 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.521741 - Iter 024 / 025, Loss: 0.617391 * Train accuracy / confusion: 78.50% / [[300, 46, 10], [60, 186, 20], [13, 23, 142]], * Val accuracy / confusion: 57.69% / [[155, 58, 17], [61, 89, 25], [19, 40, 56]] ------------------------------ Epoch 1968 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538683 - Iter 024 / 025, Loss: 0.744079 * Train accuracy / confusion: 78.25% / [[302, 51, 5], [58, 188, 19], [10, 31, 136]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [74, 77, 24], [21, 37, 57]] ------------------------------ Epoch 1969 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538602 - Iter 024 / 025, Loss: 0.580560 * Train accuracy / confusion: 75.50% / [[299, 49, 12], [73, 170, 21], [14, 27, 135]], * Val accuracy / confusion: 58.65% / [[164, 53, 13], [70, 84, 21], [20, 38, 57]] ------------------------------ Epoch 1970 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.688953 - Iter 024 / 025, Loss: 0.607527 * Train accuracy / confusion: 75.38% / [[297, 47, 9], [69, 174, 25], [10, 37, 132]], * Val accuracy / confusion: 58.27% / [[161, 50, 19], [73, 76, 26], [18, 31, 66]] ------------------------------ Epoch 1971 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.459246 - Iter 024 / 025, Loss: 0.388985 * Train accuracy / confusion: 76.62% / [[303, 38, 9], [73, 177, 21], [15, 31, 133]], * Val accuracy / confusion: 60.19% / [[155, 54, 21], [58, 95, 22], [18, 34, 63]] ------------------------------ Epoch 1972 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513922 - Iter 024 / 025, Loss: 0.506916 * Train accuracy / confusion: 75.62% / [[302, 43, 11], [65, 180, 21], [14, 41, 123]], * Val accuracy / confusion: 56.73% / [[154, 60, 16], [68, 84, 23], [14, 44, 57]] ------------------------------ Epoch 1973 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.662579 - Iter 024 / 025, Loss: 0.605959 * Train accuracy / confusion: 78.00% / [[312, 45, 8], [67, 174, 19], [10, 27, 138]], * Val accuracy / confusion: 59.62% / [[162, 56, 12], [69, 87, 19], [15, 39, 61]] ------------------------------ Epoch 1974 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.395643 - Iter 024 / 025, Loss: 0.408913 * Train accuracy / confusion: 77.75% / [[308, 41, 8], [67, 182, 21], [11, 30, 132]], * Val accuracy / confusion: 59.23% / [[154, 56, 20], [59, 95, 21], [19, 37, 59]] ------------------------------ Epoch 1975 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.367973 - Iter 024 / 025, Loss: 0.600004 * Train accuracy / confusion: 79.12% / [[315, 34, 8], [56, 181, 26], [11, 32, 137]], * Val accuracy / confusion: 58.65% / [[161, 52, 17], [56, 87, 32], [14, 44, 57]] ------------------------------ Epoch 1976 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.595031 - Iter 024 / 025, Loss: 0.401419 * Train accuracy / confusion: 75.88% / [[298, 51, 10], [71, 171, 23], [13, 25, 138]], * Val accuracy / confusion: 54.42% / [[147, 65, 18], [70, 86, 19], [18, 47, 50]] ------------------------------ Epoch 1977 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.709493 - Iter 024 / 025, Loss: 0.634552 * Train accuracy / confusion: 78.00% / [[303, 47, 6], [58, 191, 17], [13, 35, 130]], * Val accuracy / confusion: 54.04% / [[142, 76, 12], [63, 86, 26], [19, 43, 53]] ------------------------------ Epoch 1978 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.425577 - Iter 024 / 025, Loss: 0.634628 * Train accuracy / confusion: 77.00% / [[300, 43, 9], [58, 186, 26], [14, 34, 130]], * Val accuracy / confusion: 54.62% / [[148, 65, 17], [56, 84, 35], [17, 46, 52]] ------------------------------ Epoch 1979 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.816735 - Iter 024 / 025, Loss: 0.530810 * Train accuracy / confusion: 76.12% / [[299, 43, 15], [62, 181, 21], [15, 35, 129]], * Val accuracy / confusion: 58.08% / [[146, 61, 23], [56, 99, 20], [19, 39, 57]] ------------------------------ Epoch 1980 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.651134 - Iter 024 / 025, Loss: 0.693194 * Train accuracy / confusion: 77.00% / [[304, 48, 7], [58, 182, 26], [15, 30, 130]], * Val accuracy / confusion: 57.69% / [[163, 57, 10], [69, 82, 24], [14, 46, 55]] ------------------------------ Epoch 1981 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.807574 - Iter 024 / 025, Loss: 0.384402 * Train accuracy / confusion: 74.00% / [[294, 46, 14], [72, 173, 27], [16, 33, 125]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [66, 86, 23], [25, 36, 54]] ------------------------------ Epoch 1982 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.872419 - Iter 024 / 025, Loss: 0.365203 * Train accuracy / confusion: 77.38% / [[311, 36, 9], [63, 180, 22], [10, 41, 128]], * Val accuracy / confusion: 55.58% / [[148, 56, 26], [64, 88, 23], [21, 41, 53]] ------------------------------ Epoch 1983 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.428314 - Iter 024 / 025, Loss: 0.698046 * Train accuracy / confusion: 77.00% / [[297, 42, 17], [61, 183, 23], [14, 27, 136]], * Val accuracy / confusion: 60.96% / [[167, 51, 12], [72, 85, 18], [16, 34, 65]] ------------------------------ Epoch 1984 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.561139 - Iter 024 / 025, Loss: 0.565954 * Train accuracy / confusion: 78.00% / [[304, 46, 8], [57, 185, 22], [9, 34, 135]], * Val accuracy / confusion: 58.46% / [[148, 68, 14], [60, 98, 17], [17, 40, 58]] ------------------------------ Epoch 1985 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.495904 - Iter 024 / 025, Loss: 0.498462 * Train accuracy / confusion: 76.75% / [[309, 37, 9], [69, 174, 26], [11, 34, 131]], * Val accuracy / confusion: 56.73% / [[162, 53, 15], [69, 77, 29], [17, 42, 56]] ------------------------------ Epoch 1986 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.667773 - Iter 024 / 025, Loss: 0.443056 * Train accuracy / confusion: 77.38% / [[298, 48, 8], [59, 184, 26], [9, 31, 137]], * Val accuracy / confusion: 58.08% / [[156, 60, 14], [60, 94, 21], [21, 42, 52]] ------------------------------ Epoch 1987 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.586918 - Iter 024 / 025, Loss: 0.467550 * Train accuracy / confusion: 76.38% / [[293, 45, 15], [53, 183, 33], [17, 26, 135]], * Val accuracy / confusion: 56.92% / [[150, 61, 19], [65, 93, 17], [20, 42, 53]] ------------------------------ Epoch 1988 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.424791 - Iter 024 / 025, Loss: 0.607678 * Train accuracy / confusion: 76.00% / [[310, 35, 10], [64, 172, 31], [13, 39, 126]], * Val accuracy / confusion: 59.04% / [[169, 42, 19], [69, 80, 26], [17, 40, 58]] ------------------------------ Epoch 1989 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.529561 - Iter 024 / 025, Loss: 0.563005 * Train accuracy / confusion: 78.50% / [[308, 38, 13], [59, 183, 22], [11, 29, 137]], * Val accuracy / confusion: 57.31% / [[158, 61, 11], [71, 87, 17], [18, 44, 53]] ------------------------------ Epoch 1990 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.392437 - Iter 024 / 025, Loss: 0.602973 * Train accuracy / confusion: 79.88% / [[307, 37, 8], [55, 194, 21], [9, 31, 138]], * Val accuracy / confusion: 59.42% / [[155, 58, 17], [65, 89, 21], [15, 35, 65]] ------------------------------ Epoch 1991 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.443170 - Iter 024 / 025, Loss: 0.669505 * Train accuracy / confusion: 78.88% / [[305, 47, 7], [55, 183, 25], [11, 24, 143]], * Val accuracy / confusion: 59.62% / [[160, 59, 11], [66, 89, 20], [18, 36, 61]] ------------------------------ Epoch 1992 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536910 - Iter 024 / 025, Loss: 0.389094 * Train accuracy / confusion: 76.38% / [[300, 45, 11], [61, 180, 29], [8, 35, 131]], * Val accuracy / confusion: 59.04% / [[156, 60, 14], [57, 96, 22], [18, 42, 55]] ------------------------------ Epoch 1993 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.815737 - Iter 024 / 025, Loss: 0.316385 * Train accuracy / confusion: 77.25% / [[303, 42, 8], [71, 177, 18], [12, 31, 138]], * Val accuracy / confusion: 57.50% / [[162, 52, 16], [66, 82, 27], [17, 43, 55]] ------------------------------ Epoch 1994 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.572797 - Iter 024 / 025, Loss: 0.429332 * Train accuracy / confusion: 76.38% / [[302, 37, 14], [64, 183, 25], [18, 31, 126]], * Val accuracy / confusion: 56.54% / [[154, 60, 16], [63, 85, 27], [20, 40, 55]] ------------------------------ Epoch 1995 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.458933 - Iter 024 / 025, Loss: 0.523386 * Train accuracy / confusion: 79.12% / [[309, 39, 5], [59, 188, 24], [12, 28, 136]], * Val accuracy / confusion: 57.69% / [[157, 56, 17], [64, 90, 21], [19, 43, 53]] ------------------------------ Epoch 1996 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.676997 - Iter 024 / 025, Loss: 0.655696 * Train accuracy / confusion: 79.38% / [[309, 36, 11], [61, 184, 21], [6, 30, 142]], * Val accuracy / confusion: 57.69% / [[157, 62, 11], [63, 85, 27], [13, 44, 58]] ------------------------------ Epoch 1997 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.492326 - Iter 024 / 025, Loss: 0.458488 * Train accuracy / confusion: 76.12% / [[293, 51, 12], [69, 172, 26], [8, 25, 144]], * Val accuracy / confusion: 59.04% / [[161, 55, 14], [69, 89, 17], [16, 42, 57]] ------------------------------ Epoch 1998 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.627723 - Iter 024 / 025, Loss: 0.593216 * Train accuracy / confusion: 76.88% / [[304, 50, 7], [61, 182, 21], [15, 31, 129]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [63, 86, 26], [22, 49, 44]] ------------------------------ Epoch 1999 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.465373 - Iter 024 / 025, Loss: 0.592764 * Train accuracy / confusion: 76.25% / [[299, 47, 10], [62, 176, 26], [7, 38, 135]], * Val accuracy / confusion: 57.12% / [[153, 64, 13], [64, 87, 24], [19, 39, 57]] ------------------------------ Epoch 2000 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.533430 - Iter 024 / 025, Loss: 0.653782 * Train accuracy / confusion: 76.88% / [[298, 43, 14], [58, 185, 26], [8, 36, 132]], * Val accuracy / confusion: 54.23% / [[154, 59, 17], [74, 75, 26], [22, 40, 53]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 59.20% - Confusion matrix (last model): [[1053 269 88] [ 291 435 294] [ 84 247 359]]
- Test accuracy (best model): 58.11% - Confusion matrix (best model): [[1029 276 105] [ 283 443 294] [ 82 267 341]]
